Using R on LISSY

This page explains the special methods used to load LIS and LWS data in R and generate output, and documents the add-on packages currently available on the system.

Loading Data

Data is read into the workspace using the read.LIS function, which has one required argument and three optional arguments. It works as follows:

Usage

read.LIS(ccyyuu, labels=TRUE, vars=NULL, subset=NULL)

 

Arguments

ccyyuu A string or vector of strings containing dataset identifiers, indicating which datasets to load. For the formatting of this identifier, see Details.
labels A logical value indicating whether to use the value labels for categorical variables. If TRUE, creates a factor from the labels. If FALSE, uses the numeric codes.
subset An optional string specifying a subset of observations to be return. By default, all observations are returned.
vars An optional vector of variables to be loaded. By default, all variables are returned.

Details

The format of ccyyuu is a country and year code followed by a one-letter code used to identify the specific type of dataset within each database:

Package Version Title
abind 1.4-5 Combine Multidimensional Arrays
acepack 1.4.1 ACE and AVAS for Selecting Multiple Regression Transformations
acid 1.1 Analysing Conditional Income Distributions
AER 1.2-10 Applied Econometrics with R
afex 1.3-0 Analysis of Factorial Experiments
Amelia 1.8.1 A Program for Missing Data
arsenal 3.6.3 An Arsenal of ‘R’ Functions for Large-Scale Statistical Summaries
AsioHeaders 1.22.1-2 ‘Asio’ C++ Header Files
askpass 1.1 Safe Password Entry for R, Git, and SSH
assertthat 0.2.1 Easy Pre and Post Assertions
backports 1.4.1 Reimplementations of Functions Introduced Since R-3.0.0
base64enc 0.1-3 Tools for base64 encoding
bayestestR 0.13.1 Understand and Describe Bayesian Models and Posterior Distributions
BBmisc 1.13 Miscellaneous Helper Functions for B. Bischl
bda 15.2.5 Binned Data Analysis
bdsmatrix 1.3-6 Routines for Block Diagonal Symmetric Matrices
BH 1.78.0-0 Boost C++ Header Files
bigD 0.2.0 Flexibly Format Dates and Times to a Given Locale
biglm 0.9-2.1 Bounded Memory Linear and Generalized Linear Models
binsreg 0.9 Binscatter Estimation and Inference
BiocGenerics 0.36.1 S4 generic functions used in Bioconductor
BiocManager 1.30.20 Access the Bioconductor Project Package Repository
BiocVersion 3.12.0 Set the appropriate version of Bioconductor packages
bit 4.0.5 Classes and Methods for Fast Memory-Efficient Boolean Selections
bit64 4.0.5 A S3 Class for Vectors of 64bit Integers
bitops 1.0-7 Bitwise Operations
blme 1.0-5 Bayesian Linear Mixed-Effects Models
blob 1.2.3 A Simple S3 Class for Representing Vectors of Binary Data (‘BLOBS’)
BMisc 1.4.5 Miscellaneous Functions for Panel Data, Quantiles, and Printing Results
bookdown 0.33 Authoring Books and Technical Documents with R Markdown
BradleyTerry2 1.1-2 Bradley-Terry Models
brant 0.3-0 Test for Parallel Regression Assumption
brew 1.0-8 Templating Framework for Report Generation
brglm 0.7.2 Bias Reduction in Binomial-Response Generalized Linear Models
bridgesampling 1.1-2 Bridge Sampling for Marginal Likelihoods and Bayes Factors
brio 1.1.3 Basic R Input Output
Brobdingnag 1.2-9 Very Large Numbers in R
broom 1.0.1 Convert Statistical Objects into Tidy Tibbles
broom.helpers 1.15.0 Helpers for Model Coefficients Tibbles
broom.mixed 0.2.9.4 Tidying Methods for Mixed Models
bslib 0.4.1 Custom ‘Bootstrap’ ‘Sass’ Themes for ‘shiny’ and ‘rmarkdown’
cachem 1.0.6 Cache R Objects with Automatic Pruning
callr 3.7.3 Call R from R
car 3.1-1 Companion to Applied Regression
carData 3.0-5 Companion to Applied Regression Data Sets
caret 6.0-94 Classification and Regression Training
caTools 1.18.2 Tools: Moving Window Statistics, GIF, Base64, ROC AUC, etc
cellranger 1.1.0 Translate Spreadsheet Cell Ranges to Rows and Columns
checkmate 2.1.0 Fast and Versatile Argument Checks
chk 0.9.0 Check User-Supplied Function Arguments
classInt 0.4-8 Choose Univariate Class Intervals
cli 3.6.2 Helpers for Developing Command Line Interfaces
clipr 0.8.0 Read and Write from the System Clipboard
clock 0.6.1 Date-Time Types and Tools
clubSandwich 0.5.10 Cluster-Robust (Sandwich) Variance Estimators with Small-Sample Corrections
coda 0.19-4 Output Analysis and Diagnostics for MCMC
coin 1.4-2 Conditional Inference Procedures in a Permutation Test Framework
collapse 1.8.9 Advanced and Fast Data Transformation
colorspace 2.0-3 A Toolbox for Manipulating and Assessing Colors and Palettes
combinat 0.0-8 combinatorics utilities
commonmark 1.9.1 High Performance CommonMark and Github Markdown Rendering in R
conquer 1.3.1 Convolution-Type Smoothed Quantile Regression
convey 0.2.4 Income Concentration Analysis with Complex Survey Samples
corpcor 1.6.10 Efficient Estimation of Covariance and (Partial) Correlation
correlation 0.8.4 Methods for Correlation Analysis
corrplot 0.92 Visualization of a Correlation Matrix
covr 3.6.1 Test Coverage for Packages
cowplot 1.1.1 Streamlined Plot Theme and Plot Annotations for ‘ggplot2’
cpp11 0.4.3 A C++11 Interface for R’s C Interface
crayon 1.5.2 Colored Terminal Output
credentials 1.3.2 Tools for Managing SSH and Git Credentials
crosstalk 1.2.0 Inter-Widget Interactivity for HTML Widgets
crul 1.3 HTTP Client
cubelyr 1.0.2 A Data Cube ‘dplyr’ Backend
Cubist 0.4.1 Rule- And Instance-Based Regression Modeling
curl 4.3.3 A Modern and Flexible Web Client for R
curry 0.1.1 Partial Function Application with %<%, %-<%, and %><%
cvAUC 1.1.4 Cross-Validated Area Under the ROC Curve Confidence Intervals
CVST 0.2-3 Fast Cross-Validation via Sequential Testing
data.table 1.14.8 Extension of `data.frame`
datawizard 0.9.0 Easy Data Wrangling and Statistical Transformations
DBI 1.1.3 R Database Interface
dbplyr 2.2.1 A ‘dplyr’ Back End for Databases
decr 0.0.8.9000 Tools to Perform Decompositions of Differences Between Two Groups
deldir 1.0-6 Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
DEoptimR 1.0-11 Differential Evolution Optimization in Pure R
Deriv 4.1.3 Symbolic Differentiation
desc 1.4.2 Manipulate DESCRIPTION Files
devtools 2.4.5 Tools to Make Developing R Packages Easier
dfidx 0.0-5 Indexed Data Frames
did 2.1.2 Treatment Effects with Multiple Periods and Groups
diffobj 0.3.5 Diffs for R Objects
digest 0.6.30 Create Compact Hash Digests of R Objects
dineq 0.1.0 Decomposition of (Income) Inequality
diptest 0.76-0 Hartigan’s Dip Test Statistic for Unimodality – Corrected
DirectEffects 0.2.1 Estimating Controlled Direct Effects for Explaining Causal Findings
discretization 1.0-1.1 Data Preprocessing, Discretization for Classification
dlookr 0.6.1 Tools for Data Diagnosis, Exploration, Transformation
doParallel 1.0.17 Foreach Parallel Adaptor for the ‘parallel’ Package
downlit 0.4.2 Syntax Highlighting and Automatic Linking
dplyr 1.1.1 A Grammar of Data Manipulation
dpm 1.1.2 Dynamic Panel Models Fit with Maximum Likelihood
DRDID 1.0.6 Doubly Robust Difference-in-Differences Estimators
dreamerr 1.2.3 Error Handling Made Easy
drifr 0.1.0 Decomposit Recentered Influence Function Regression with R
dtplyr 1.2.2 Data Table Back-End for ‘dplyr’
dummies 1.5.6 Create dummy/indicator variables flexibly and efficiently
dygraphs 1.1.1.6 Interface to ‘Dygraphs’ Interactive Time Series Charting Library
e1071 1.7-12 Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
earth 5.3.1 Multivariate Adaptive Regression Splines
easystats 0.6.0 Framework for Easy Statistical Modeling, Visualization, and Reporting
effects 4.2-2 Effect Displays for Linear, Generalized Linear, and Other Models
effectsize 0.8.5 Indices of Effect Size
ellipse 0.4.3 Functions for Drawing Ellipses and Ellipse-Like Confidence Regions
ellipsis 0.3.2 Tools for Working with …
emmeans 1.7.2 Estimated Marginal Means, aka Least-Squares Means
estimability 1.4.1 Tools for Assessing Estimability of Linear Predictions
estimatr 1.0.0 Fast Estimators for Design-Based Inference
etwfe 0.3.1 Extended Two-Way Fixed Effects
evaluate 0.18 Parsing and Evaluation Tools that Provide More Details than the Default
Exact 3.2 Unconditional Exact Test
expm 0.999-6 Matrix Exponential, Log, ‘etc’
expss 0.11.4 Tables, Labels and Some Useful Functions from Spreadsheets and ‘SPSS’ Statistics
extraDistr 1.9.1 Additional Univariate and Multivariate Distributions
extrafont 0.19 Tools for Using Fonts
extrafontdb 1.0 Package for holding the database for the extrafont package
fancycut 0.1.2 A Fancy Version of ‘base::cut’
fansi 1.0.3 ANSI Control Sequence Aware String Functions
farver 2.1.1 High Performance Colour Space Manipulation
fastDummies 1.6.3 Fast Creation of Dummy (Binary) Columns and Rows from Categorical Variables
fastICA 1.2-3 FastICA Algorithms to Perform ICA and Projection Pursuit
fastmap 1.1.0 Fast Data Structures
fastmatch 1.1-3 Fast ‘match()’ Function
feather 0.3.5 R Bindings to the Feather ‘API’
fit.models 0.64 Compare Fitted Models
fitdistrplus 1.1-11 Help to Fit of a Parametric Distribution to Non-Censored or Censored Data
fixest 0.11.1 Fast Fixed-Effects Estimations
fmsb 0.7.5 Functions for Medical Statistics Book with some Demographic Data
FNN 1.1.3.1 Fast Nearest Neighbor Search Algorithms and Applications
fontawesome 0.4.0 Easily Work with ‘Font Awesome’ Icons
fontBitstreamVera 0.1.1 Fonts with ‘Bitstream Vera Fonts’ License
fontLiberation 0.1.0 Liberation Fonts
fontquiver 0.2.1 Set of Installed Fonts
forcats 1.0.0 Tools for Working with Categorical Variables (Factors)
foreach 1.5.2 Provides Foreach Looping Construct
Formula 1.2-5 Extended Model Formulas
formulaic 0.0.8 Dynamic Generation and Quality Checks of Formula Objects
fs 1.6.3 Cross-Platform File System Operations Based on ‘libuv’
furrr 0.3.1 Apply Mapping Functions in Parallel using Futures
future 1.29.0 Unified Parallel and Distributed Processing in R for Everyone
future.apply 1.10.0 Apply Function to Elements in Parallel using Futures
gam 1.22 Generalized Additive Models
gamlss 5.4-10 Generalised Additive Models for Location Scale and Shape
gamlss.data 6.0-2 Data for Generalised Additive Models for Location Scale and Shape
gamlss.dist 6.0-5 Distributions for Generalized Additive Models for Location Scale and Shape
gargle 1.2.1 Utilities for Working with Google APIs
gdata 2.18.0.1 Various R Programming Tools for Data Manipulation
gdtools 0.3.2 Utilities for Graphical Rendering and Fonts Management
gee 4.13-25 Generalized Estimation Equation Solver
generics 0.1.3 Common S3 Generics not Provided by Base R Methods Related to Model Fitting
gert 1.9.1 Simple Git Client for R
gfonts 0.2.0 Offline ‘Google’ Fonts for ‘Markdown’ and ‘Shiny’
GGally 2.1.2 Extension to ‘ggplot2’
ggeffects 1.3.0 Create Tidy Data Frames of Marginal Effects for ‘ggplot’ from Model Outputs
ggiraph 0.8.7 Make ‘ggplot2’ Graphics Interactive
ggiraphExtra 0.3.0 Make Interactive ‘ggplot2’. Extension to ‘ggplot2’ and ‘ggiraph’
ggplot2 3.4.3 Create Elegant Data Visualisations Using the Grammar of Graphics
ggplotify 0.1.0 Convert Plot to ‘grob’ or ‘ggplot’ Object
ggpubr 0.5.0 ‘ggplot2’ Based Publication Ready Plots
ggrepel 0.9.2 Automatically Position Non-Overlapping Text Labels with ‘ggplot2’
ggsci 2.9 Scientific Journal and Sci-Fi Themed Color Palettes for ‘ggplot2’
ggsignif 0.6.4 Significance Brackets for ‘ggplot2’
ggthemes 4.2.4 Extra Themes, Scales and Geoms for ‘ggplot2’
gh 1.3.1 ‘GitHub’ ‘API’
GiniWegNeg 1.0.1 Computing the Gini-Based Coefficients for Weighted and Negative Attributes
git2r 0.30.1 Provides Access to Git Repositories
gitcreds 0.1.2 Query ‘git’ Credentials from ‘R’
gld 2.6.6 Estimation and Use of the Generalised (Tukey) Lambda Distribution
glmnet 4.1-7 Lasso and Elastic-Net Regularized Generalized Linear Models
globals 0.16.2 Identify Global Objects in R Expressions
glue 1.6.2 Interpreted String Literals
gmm 1.7 Generalized Method of Moments and Generalized Empirical Likelihood
gmodels 2.18.1.1 Various R Programming Tools for Model Fitting
goftest 1.2-3 Classical Goodness-of-Fit Tests for Univariate Distributions
googledrive 2.0.0 An Interface to Google Drive
googlesheets4 1.0.1 Access Google Sheets using the Sheets API V4
gower 1.0.0 Gower’s Distance
GPArotation 2022.10-2 GPA Factor Rotation
gplots 3.1.3 Various R Programming Tools for Plotting Data
graph 1.68.0 graph: A package to handle graph data structures
gridExtra 2.3 Miscellaneous Functions for Grid Graphics
gridGraphics 0.5-1 Redraw Base Graphics Using ‘grid’ Graphics
gt 0.10.1 Easily Create Presentation-Ready Display Tables
gtable 0.3.1 Arrange ‘Grobs’ in Tables
gtools 3.9.3 Various R Programming Tools
gtsummary 1.7.2 Presentation-Ready Data Summary and Analytic Result Tables
hardhat 1.2.0 Construct Modeling Packages
haven 2.5.1 Import and Export ‘SPSS’, ‘Stata’ and ‘SAS’ Files
healthequal 1.0.0 Compute Summary Measures of Health Inequality
here 1.0.1 A Simpler Way to Find Your Files
highr 0.9 Syntax Highlighting for R Source Code
Hmisc 4.7-2 Harrell Miscellaneous
hms 1.1.2 Pretty Time of Day
hrbrthemes 0.8.7 Additional Themes, Theme Components and Utilities for ‘ggplot2’
htmlTable 2.4.1 Advanced Tables for Markdown/HTML
htmltools 0.5.8.1 Tools for HTML
htmlwidgets 1.6.4 HTML Widgets for R
httpcode 0.3.0 ‘HTTP’ Status Code Helper
httpuv 1.6.6 HTTP and WebSocket Server Library
httr 1.4.4 Tools for Working with URLs and HTTP
IC2 1.0-1 Inequality and Concentration Indices and Curves
ids 1.0.1 Generate Random Identifiers
igraph 1.3.5 Network Analysis and Visualization
import 1.3.0 An Import Mechanism for R
incdist 0.94-1 A collection of functions for income distribution analysis
ineq 0.2-13 Measuring Inequality, Concentration, and Poverty
ineq.2d 0.1.0 Two-Dimensional Decomposition of the Theil Index and the Squared Coefficient of Variation
ini 0.3.1 Read and Write ‘.ini’ Files
inline 0.3.19 Functions to Inline C, C++, Fortran Function Calls from R
insight 0.19.6 Easy Access to Model Information for Various Model Objects
interactions 1.1.5 Comprehensive, User-Friendly Toolkit for Probing Interactions
interflex 1.2.6 Multiplicative Interaction Models Diagnostics and Visualization
interp 1.1-3 Interpolation Methods
inum 1.0-4 Interval and Enum-Type Representation of Vectors
ipred 0.9-13 Improved Predictors
isoband 0.2.6 Generate Isolines and Isobands from Regularly Spaced Elevation Grids
ISwR 2.0-8 Introductory Statistics with R
iterators 1.0.14 Provides Iterator Construct
janitor 2.1.0 Simple Tools for Examining and Cleaning Dirty Data
jomo 2.7-4 Multilevel Joint Modelling Multiple Imputation
jpeg 0.1-9 Read and write JPEG images
jquerylib 0.1.4 Obtain ‘jQuery’ as an HTML Dependency Object
jsonlite 1.8.3 A Simple and Robust JSON Parser and Generator for R
jtools 2.2.1 Analysis and Presentation of Social Scientific Data
juicyjuice 0.1.0 Inline CSS Properties into HTML Tags Using ‘juice’
kableExtra 1.3.4 Construct Complex Table with ‘kable’ and Pipe Syntax
Kendall 2.2.1 Kendall Rank Correlation and Mann-Kendall Trend Test
kernlab 0.9-31 Kernel-Based Machine Learning Lab
khb 0.11 KHB: Comparing nonlinear regression models
klaR 1.7-1 Classification and Visualization
knitr 1.41 A General-Purpose Package for Dynamic Report Generation in R
ks 1.14.0 Kernel Smoothing
labeling 0.4.2 Axis Labeling
labelled 2.12.0 Manipulating Labelled Data
laeken 0.5.2 Estimation of Indicators on Social Exclusion and Poverty
later 1.3.0 Utilities for Scheduling Functions to Execute Later with Event Loops
latticeExtra 0.6-30 Extra Graphical Utilities Based on Lattice
lava 1.7.0 Latent Variable Models
lavaan 0.6-12 Latent Variable Analysis
lazyeval 0.2.2 Lazy (Non-Standard) Evaluation
leaps 3.1 Regression Subset Selection
lfe 2.8-8 Linear Group Fixed Effects
libcoin 1.0-9 Linear Test Statistics for Permutation Inference
lifecycle 1.0.3 Manage the Life Cycle of your Package Functions
lissyrtools 0.1.6 Tools for LISSY Jobs
listenv 0.9.0 Environments Behaving (Almost) as Lists
lme4 1.1-35.3 Linear Mixed-Effects Models using ‘Eigen’ and S4
lmerTest 3.1-3 Tests in Linear Mixed Effects Models
lmom 2.9 L-Moments
Lmoments 1.3-1 L-Moments and Quantile Mixtures
lmtest 0.9-40 Testing Linear Regression Models
loo 2.5.1 Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
lpSolve 5.6.17 Interface to ‘Lp_solve’ v. 5.5 to Solve Linear/Integer Programs
lubridate 1.9.2 Make Dealing with Dates a Little Easier
maditr 0.8.3 Fast Data Aggregation, Modification, and Filtering with Pipes and ‘data.table’
magrittr 2.0.3 A Forward-Pipe Operator for R
maptools 1.1-5 Tools for Handling Spatial Objects
marginaleffects 0.14.0 Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests
margins 0.3.26 Marginal Effects for Model Objects
markdown 1.12 Render Markdown with ‘commonmark’
Matching 4.10-8 Multivariate and Propensity Score Matching with Balance Optimization
MatchIt 4.5.4 Nonparametric Preprocessing for Parametric Causal Inference
matrixcalc 1.0-6 Collection of Functions for Matrix Calculations
MatrixModels 0.5-1 Modelling with Sparse and Dense Matrices
matrixStats 0.63.0 Functions that Apply to Rows and Columns of Matrices (and to Vectors)
maxLik 1.5-2 Maximum Likelihood Estimation and Related Tools
mclust 6.0.0 Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
mda 0.5-3 Mixture and Flexible Discriminant Analysis
measures 0.3 Performance Measures for Statistical Learning
mediation 4.5.0 Causal Mediation Analysis
memoise 2.0.1 ‘Memoisation’ of Functions
merTools 0.5.2 Tools for Analyzing Mixed Effect Regression Models
mhurdle 1.3-0 Multiple Hurdle Tobit Models
mice 3.15.0 Multivariate Imputation by Chained Equations
microbenchmark 1.4.9 Accurate Timing Functions
mime 0.12 Map Filenames to MIME Types
miniUI 0.1.1.1 Shiny UI Widgets for Small Screens
minqa 1.2.5 Derivative-Free Optimization Algorithms by Quadratic Approximation
misc3d 0.9-1 Miscellaneous 3D Plots
miscTools 0.6-26 Miscellaneous Tools and Utilities
mitml 0.4-3 Tools for Multiple Imputation in Multilevel Modeling
mitools 2.4 Tools for Multiple Imputation of Missing Data
mixR 0.2.0 Finite Mixture Modeling for Raw and Binned Data
mixtools 2.0.0 Tools for Analyzing Finite Mixture Models
mlbench 2.1-3 Machine Learning Benchmark Problems
MLmetrics 1.1.1 Machine Learning Evaluation Metrics
mlogit 1.1-1 Multinomial Logit Models
mnormt 2.1.1 The Multivariate Normal and t Distributions, and Their Truncated Versions
modelbased 0.8.6 Estimation of Model-Based Predictions, Contrasts and Means
ModelMetrics 1.2.2.2 Rapid Calculation of Model Metrics
modelr 0.1.10 Modelling Functions that Work with the Pipe
modelsummary 1.4.3 Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
modeltools 0.2-23 Tools and Classes for Statistical Models
multcomp 1.4-20 Simultaneous Inference in General Parametric Models
multicool 0.1-12 Permutations of Multisets in Cool-Lex Order
multimode 1.5 Mode Testing and Exploring
munsell 0.5.0 Utilities for Using Munsell Colours
mvtnorm 1.1-3 Multivariate Normal and t Distributions
mycor 0.1.1 Automatic Correlation and Regression Test in a ‘data.frame’
nFactors 2.4.1.1 Parallel Analysis and Other Non Graphical Solutions to the Cattell Scree Test
nleqslv 3.3.3 Solve Systems of Nonlinear Equations
nloptr 2.0.3 R Interface to NLopt
numDeriv 2016.8-1.1 Accurate Numerical Derivatives
nycflights13 1.0.2 Flights that Departed NYC in 2013
oaxaca 0.1.5 Blinder-Oaxaca Decomposition
openssl 2.0.4 Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
openxlsx 4.2.5.1 Read, Write and Edit xlsx Files
optimParallel 1.0-2 Parallel Version of the L-BFGS-B Optimization Method
optimx 2022-4.30 Expanded Replacement and Extension of the ‘optim’ Function
optmatch 0.10.5 Functions for Optimal Matching
ordinal 2022.11-16 Regression Models for Ordinal Data
packrat 0.8.1 A Dependency Management System for Projects and their R Package Dependencies
pacman 0.5.1 Package Management Tool
pagedown 0.20 Paginate the HTML Output of R Markdown with CSS for Print
pamr 1.56.1 Pam: Prediction Analysis for Microarrays
pan 1.6 Multiple Imputation for Multivariate Panel or Clustered Data
pander 0.6.5 An R ‘Pandoc’ Writer
panelr 0.7.6 Regression Models and Utilities for Repeated Measures and Panel Data
parallelly 1.32.1 Enhancing the ‘parallel’ Package
parallelMap 1.5.1 Unified Interface to Parallelization Back-Ends
parameters 0.21.2 Processing of Model Parameters
ParamHelpers 1.14.1 Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning
party 1.3-11 A Laboratory for Recursive Partytioning
partykit 1.2-16 A Toolkit for Recursive Partytioning
pbapply 1.7-2 Adding Progress Bar to ‘*apply’ Functions
pbivnorm 0.6.0 Vectorized Bivariate Normal CDF
pbkrtest 0.5.1 Parametric Bootstrap, Kenward-Roger and Satterthwaite Based Methods for Test in Mixed Models
pcaPP 2.0-3 Robust PCA by Projection Pursuit
pcse 1.9.1.1 Panel-Corrected Standard Error Estimation in R
pdftools 3.3.3 Text Extraction, Rendering and Converting of PDF Documents
performance 0.10.5 Assessment of Regression Models Performance
pewmethods 1.0 Pew Research Center Methods Miscellaneous Functions
pillar 1.8.1 Coloured Formatting for Columns
pkgbuild 1.4.0 Find Tools Needed to Build R Packages
pkgconfig 2.0.3 Private Configuration for ‘R’ Packages
pkgdown 2.0.7 Make Static HTML Documentation for a Package
pkgload 1.3.2 Simulate Package Installation and Attach
plm 2.6-2 Linear Models for Panel Data
plogr 0.2.0 The ‘plog’ C++ Logging Library
plot3D 1.4 Plotting Multi-Dimensional Data
plotly 4.10.1 Create Interactive Web Graphics via ‘plotly.js’
plotmo 3.6.2 Plot a Model’s Residuals, Response, and Partial Dependence Plots
plotrix 3.8-2 Various Plotting Functions
pls 2.8-1 Partial Least Squares and Principal Component Regression
plyr 1.8.8 Tools for Splitting, Applying and Combining Data
pmml 2.5.2 Generate PMML for Various Models
png 0.1-7 Read and write PNG images
poLCA 1.6.0.1 Polytomous Variable Latent Class Analysis
polyclip 1.10-4 Polygon Clipping
polynom 1.4-1 A Collection of Functions to Implement a Class for Univariate Polynomial Manipulations
ppcor 1.1 Partial and Semi-Partial (Part) Correlation
pracma 2.4.2 Practical Numerical Math Functions
praise 1.0.0 Praise Users
prediction 0.3.14 Tidy, Type-Safe ‘prediction()’ Methods
prettyunits 1.1.1 Pretty, Human Readable Formatting of Quantities
pROC 1.18.0 Display and Analyze ROC Curves
processx 3.8.0 Execute and Control System Processes
prodlim 2019.11.13 Product-Limit Estimation for Censored Event History Analysis
profileModel 0.6.1 Profiling Inference Functions for Various Model Classes
profvis 0.3.7 Interactive Visualizations for Profiling R Code
progress 1.2.2 Terminal Progress Bars
progressr 0.11.0 An Inclusive, Unifying API for Progress Updates
promises 1.2.0.1 Abstractions for Promise-Based Asynchronous Programming
proxy 0.4-27 Distance and Similarity Measures
ps 1.7.2 List, Query, Manipulate System Processes
pscl 1.5.5 Political Science Computational Laboratory
psych 2.2.9 Procedures for Psychological, Psychometric, and Personality Research
psychotools 0.7-2 Psychometric Modeling Infrastructure
psychotree 0.16-0 Recursive Partitioning Based on Psychometric Models
purrr 1.0.2 Functional Programming Tools
qpdf 1.3.2 Split, Combine and Compress PDF Files
quadprog 1.5-8 Functions to Solve Quadratic Programming Problems
quantmod 0.4.20 Quantitative Financial Modelling Framework
quantreg 5.94 Quantile Regression
questionr 0.7.7 Functions to Make Surveys Processing Easier
qvcalc 1.0.2 Quasi Variances for Factor Effects in Statistical Models
R.cache 0.16.0 Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations
R.methodsS3 1.8.2 S3 Methods Simplified
R.oo 1.25.0 R Object-Oriented Programming with or without References
R.utils 2.12.2 Various Programming Utilities
R6 2.5.1 Encapsulated Classes with Reference Semantics
ragg 1.2.4 Graphic Devices Based on AGG
randomForest 4.6-14 Breiman and Cutler’s Random Forests for Classification and Regression
randomizr 0.22.0 Easy-to-Use Tools for Common Forms of Random Assignment and Sampling
ranger 0.14.1 A Fast Implementation of Random Forests
RANN 2.6.1 Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 Metric
rappdirs 0.3.3 Application Directories: Determine Where to Save Data, Caches, and Logs
rbibutils 2.2.10 Read ‘Bibtex’ Files and Convert Between Bibliography Formats
rcmdcheck 1.4.0 Run ‘R CMD check’ from ‘R’ and Capture Results
RColorBrewer 1.1-3 ColorBrewer Palettes
Rcpp 1.0.11 Seamless R and C++ Integration
RcppArmadillo 0.11.4.2.1 ‘Rcpp’ Integration for the ‘Armadillo’ Templated Linear Algebra Library
RcppEigen 0.3.4.0.0 ‘Rcpp’ Integration for the ‘Eigen’ Templated Linear Algebra Library
RcppParallel 5.1.5 Parallel Programming Tools for ‘Rcpp’
RcppProgress 0.4.2 An Interruptible Progress Bar with OpenMP Support for C++ in R Packages
RcppTOML 0.1.7 ‘Rcpp’ Bindings to Parser for Tom’s Obvious Markup Language
Rdpack 2.4 Update and Manipulate Rd Documentation Objects
reactable 0.4.4 Interactive Data Tables for R
reactR 0.4.4 React Helpers
readr 2.1.3 Read Rectangular Text Data
readstata13 0.10.0 Import ‘Stata’ Data Files
readxl 1.4.1 Read Excel Files
recipes 1.0.5 Preprocessing and Feature Engineering Steps for Modeling
relations 0.6-13 Data Structures and Algorithms for Relations
rematch 1.0.1 Match Regular Expressions with a Nicer ‘API’
rematch2 2.1.2 Tidy Output from Regular Expression Matching
remotes 2.4.2.1 R Package Installation from Remote Repositories, Including ‘GitHub’
report 0.5.7 Automated Reporting of Results and Statistical Models
reprex 2.0.2 Prepare Reproducible Example Code via the Clipboard
reshape 0.8.9 Flexibly Reshape Data
reshape2 1.4.4 Flexibly Reshape Data: A Reboot of the Reshape Package
reticulate 1.26 Interface to ‘Python’
rex 1.2.1 Friendly Regular Expressions
rgenoud 5.9-0.3 R Version of GENetic Optimization Using Derivatives
Rgraphviz 2.34.0 Provides plotting capabilities for R graph objects
rineq 0.2.3 Concentration Index and Decomposition for Health Inequalities
rio 0.5.29 A Swiss-Army Knife for Data I/O
rJava 1.0-6 Low-Level R to Java Interface
rlang 1.1.3 Functions for Base Types and Core R and ‘Tidyverse’ Features
rlemon 0.2.0 R Access to LEMON Graph Algorithms
rmarkdown 2.18 Dynamic Documents for R
rngtools 1.5.2 Utility Functions for Working with Random Number Generators
robust 0.7-1 Port of the S+ Robust Library
robustbase 0.95-0 Basic Robust Statistics
ROCR 1.0-11 Visualizing the Performance of Scoring Classifiers
rootSolve 1.8.2.3 Nonlinear Root Finding, Equilibrium and Steady-State Analysis of Ordinary Differential Equations
ROSE 0.0-4 Random Over-Sampling Examples
roxygen2 7.2.3 In-Line Documentation for R
rprojroot 2.0.3 Finding Files in Project Subdirectories
rrcov 1.7-2 Scalable Robust Estimators with High Breakdown Point
rsconnect 0.8.28 Deployment Interface for R Markdown Documents and Shiny Applications
rstantools 2.2.0 Tools for Developing R Packages Interfacing with ‘Stan’
rstatix 0.7.1 Pipe-Friendly Framework for Basic Statistical Tests
rstudioapi 0.14 Safely Access the RStudio API
Rttf2pt1 1.3.12 ‘ttf2pt1’ Program
rversions 2.1.2 Query ‘R’ Versions, Including ‘r-release’ and ‘r-oldrel’
rvest 1.0.3 Easily Harvest (Scrape) Web Pages
RWeka 0.4-44 R/Weka Interface
RWekajars 3.9.3-2 R/Weka Interface Jars
sandwich 3.0-2 Robust Covariance Matrix Estimators
sass 0.4.9 Syntactically Awesome Style Sheets (‘Sass’)
scales 1.2.1 Scale Functions for Visualization
scatterplot3d 0.3-42 3D Scatter Plot
scorecard 0.4.1 Credit Risk Scorecard
see 0.8.0 Model Visualisation Toolbox for ‘easystats’ and ‘ggplot2’
segmented 1.6-1 Regression Models with Break-Points / Change-Points (with Possibly Random Effects) Estimation
selectr 0.4-2 Translate CSS Selectors to XPath Expressions
sensemakr 0.1.4 Sensitivity Analysis Tools for Regression Models
servr 0.26 A Simple HTTP Server to Serve Static Files or Dynamic Documents
sessioninfo 1.2.2 R Session Information
sets 1.0-24 Sets, Generalized Sets, Customizable Sets and Intervals
sgeostat 1.0-27 An Object-Oriented Framework for Geostatistical Modeling in S+
shape 1.4.6 Functions for Plotting Graphical Shapes, Colors
shiny 1.7.4 Web Application Framework for R
shinyjs 2.1.0 Easily Improve the User Experience of Your Shiny Apps in Seconds
shinythemes 1.2.0 Themes for Shiny
showtext 0.9-5 Using Fonts More Easily in R Graphs
showtextdb 3.0 Font Files for the ‘showtext’ Package
sjlabelled 1.2.0 Labelled Data Utility Functions
sjmisc 2.8.9 Data and Variable Transformation Functions
sjstats 0.18.2 Collection of Convenient Functions for Common Statistical Computations
slam 0.1-50 Sparse Lightweight Arrays and Matrices
snakecase 0.11.0 Convert Strings into any Case
sourcetools 0.1.7 Tools for Reading, Tokenizing and Parsing R Code
sp 1.5-1 Classes and Methods for Spatial Data
SparseM 1.81 Sparse Linear Algebra
spatstat 3.0-2 Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
spatstat.core 2.4-4 Core Functionality of the ‘spatstat’ Family
spatstat.data 3.0-0 Datasets for ‘spatstat’ Family
spatstat.explore 3.0-5 Exploratory Data Analysis for the ‘spatstat’ Family
spatstat.geom 3.0-3 Geometrical Functionality of the ‘spatstat’ Family
spatstat.linnet 3.0-3 Linear Networks Functionality of the ‘spatstat’ Family
spatstat.model 3.0-2 Parametric Statistical Modelling for the ‘spatstat’ Family
spatstat.random 3.0-1 Random Generation Functionality for the ‘spatstat’ Family
spatstat.sparse 3.0-0 Sparse Three-Dimensional Arrays and Linear Algebra Utilities
spatstat.utils 3.0-1 Utility Functions for ‘spatstat’
splancs 2.01-43 Spatial and Space-Time Point Pattern Analysis
splitstackshape 1.4.8 Stack and Reshape Datasets After Splitting Concatenated Values
spls 2.2-3 Sparse Partial Least Squares (SPLS) Regression and Classification
SQUAREM 2021.1 Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms
srvyr 1.1.2 ‘dplyr’-Like Syntax for Summary Statistics of Survey Data
StanHeaders 2.21.0-7 C++ Header Files for Stan
stargazer 5.2.3 Well-Formatted Regression and Summary Statistics Tables
StatMatch 1.4.1 Statistical Matching or Data Fusion
statmod 1.5.0 Statistical Modeling
strat 0.1 An Implementation of the Stratification Index
stringi 1.7.8 Fast and Portable Character String Processing Facilities
stringr 1.5.0 Simple, Consistent Wrappers for Common String Operations
strucchange 1.5-3 Testing, Monitoring, and Dating Structural Changes
subselect 0.15.3 Selecting Variable Subsets
superpc 1.12 Supervised Principal Components
survey 4.1-1 Analysis of Complex Survey Samples
svglite 2.1.1 An ‘SVG’ Graphics Device
sys 3.4.1 Powerful and Reliable Tools for Running System Commands in R
sysfonts 0.8.8 Loading Fonts into R
systemfit 1.1-29 Estimating Systems of Simultaneous Equations
systemfonts 1.0.4 System Native Font Finding
tables 0.9.17 Formula-Driven Table Generation
TeachingDemos 2.12 Demonstrations for Teaching and Learning
tensor 1.5 Tensor product of arrays
tensorA 0.36.2 Advanced Tensor Arithmetic with Named Indices
tesseract 5.1.0 Open Source OCR Engine
testthat 3.1.5 Unit Testing for R
texreg 1.39.3 Conversion of R Regression Output to LaTeX or HTML Tables
textshaping 0.3.6 Bindings to the ‘HarfBuzz’ and ‘Fribidi’ Libraries for Text Shaping
TH.data 1.1-1 TH’s Data Archive
threejs 0.3.3 Interactive 3D Scatter Plots, Networks and Globes
tibble 3.2.1 Simple Data Frames
tictoc 1.1 Functions for Timing R Scripts, as Well as Implementations of Stack and List Structures
tidyr 1.2.1 Tidy Messy Data
tidyselect 1.2.0 Select from a Set of Strings
tidyverse 1.3.2 Easily Install and Load the ‘Tidyverse’
timechange 0.1.1 Efficient Manipulation of Date-Times
timeDate 4021.106 Rmetrics – Chronological and Calendar Objects
tinytex 0.42 Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents
TMB 1.9.1 Template Model Builder: A General Random Effect Tool Inspired by ‘ADMB’
tmvnsim 1.0-2 Truncated Multivariate Normal Simulation
trend 1.1.4 Non-Parametric Trend Tests and Change-Point Detection
triebeard 0.4.1 ‘Radix’ Trees in ‘Rcpp’
tripack 1.3-9.1 Triangulation of Irregularly Spaced Data
truncreg 0.2-5 Truncated Gaussian Regression Models
trust 0.1-8 Trust Region Optimization
tseries 0.10-52 Time Series Analysis and Computational Finance
TTR 0.24.3 Technical Trading Rules
twopartm 0.1.0 Two-Part Model with Marginal Effects
tzdb 0.3.0 Time Zone Database Information
ucminf 1.1-4.1 General-Purpose Unconstrained Non-Linear Optimization
unbalanced 2.0 Racing for Unbalanced Methods Selection
urlchecker 1.0.1 Run CRAN URL Checks from Older R Versions
urltools 1.7.3 Vectorised Tools for URL Handling and Parsing
usethis 2.1.6 Automate Package and Project Setup
utf8 1.2.2 Unicode Text Processing
uuid 1.1-0 Tools for Generating and Handling of UUIDs
V8 4.4.2 Embedded JavaScript and WebAssembly Engine for R
varImp 0.4 RF Variable Importance for Arbitrary Measures
vcd 1.4-10 Visualizing Categorical Data
vctrs 0.6.5 Vector Helpers
VGAM 1.1-11 Vector Generalized Linear and Additive Models
viridis 0.6.5 Colorblind-Friendly Color Maps for R
viridisLite 0.4.1 Colorblind-Friendly Color Maps (Lite Version)
vroom 1.6.0 Read and Write Rectangular Text Data Quickly
waldo 0.4.0 Find Differences Between R Objects
webp 1.1.0 A New Format for Lossless and Lossy Image Compression
webshot 0.5.4 Take Screenshots of Web Pages
websocket 1.4.1 ‘WebSocket’ Client Library
WeMix 4.0.3 Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum Likelihood Estimation
whisker 0.4 {{mustache}} for R, Logicless Templating
withr 2.5.0 Run Code ‘With’ Temporarily Modified Global State
writexl 1.4.1 Export Data Frames to Excel ‘xlsx’ Format
xefun 0.1.3 X-Engineering or Supporting Functions
xfun 0.43 Supporting Functions for Packages Maintained by ‘Yihui Xie’
xgboost 1.7.8.1 Extreme Gradient Boosting
XML 3.99-0.12 Tools for Parsing and Generating XML Within R and S-Plus
xml2 1.3.3 Parse XML
xopen 1.0.0 Open System Files, ‘URLs’, Anything
xtable 1.8-4 Export Tables to LaTeX or HTML
xts 0.12.2 eXtensible Time Series
yaml 2.3.6 Methods to Convert R Data to YAML and Back
yulab.utils 0.0.6 Supporting Functions for Packages Maintained by ‘YuLab-SMU’
zip 2.2.2 Cross-Platform ‘zip’ Compression
zoo 1.8-11 S3 Infrastructure for Regular and Irregular Time Series (Z’s Ordered Observations)