Gábor Csárdi

devtools

Tools to make an R developer's life easier

dplyr

dplyr: A grammar of data manipulation

ggplot2

An implementation of the Grammar of Graphics in R

lubridate

Make working with dates in R just that little bit easier

purrr

A functional programming toolkit for R

readxl

Read excel files (.xls and .xlsx) into R

recipes

Pipeable steps for feature engineering and data preprocessing to prepare for modeling

stringr

A fresh approach to string manipulation in R

tidymodels

Easily install and load the tidymodels packages

tidyr

Tidy Messy Data

usethis

Set up commonly used components

pkgdown

Generate static html documentation for an R package

roxygen2

Generate R package documentation from inline R comments

rstudio

RStudio is an integrated development environment (IDE) for R

tidyverse

Easily install and load packages from the tidyverse

tidyverse.org

Source of tidyverse.org

cli

Tools for making beautiful & useful command line interfaces

magrittr

Improve the readability of R code with the pipe

odbc

Connect to ODBC databases (using the DBI interface)

gh

Minimalistic GitHub API client in R

R6

Encapsulated object-oriented programming for R

rlang

Low-level API for programming with R

testthat

An R to make testing

httr2

Make HTTP requests and process their responses. A modern reimagining of httr

ps

R package to query, list, manipulate system processes

fs

Provide cross platform file operations based on libuv

finetune

Additional functions for model tuning

parsnip

A tidy unified interface to models

rsample

Classes and functions to create and summarize resampling objects

callr

Call R from R

httr

httr: a friendly http package for R

reprex

Render bits of R code for sharing, e.g., on GitHub or StackOverflow

covr

Test coverage reports for R

lintr

Static Code Analysis for R

actions

GitHub Actions for the R community

archive

R bindings to libarchive, supporting a large variety of archive formats

asciicast

Turn R scripts into terminal screencasts

askpass

Password Entry for R, Git, and SSH

available

Check if a package name is available to use

brio

Basic R Input Output

brulee

High-Level Modeling Functions with 'torch'

censored

Parsnip wrappers for survival models

cliapp

Rich Command Line Applications

clisymbols

Unicode symbols for CLI applications, with fallbacks

crayon

️ R package for colored terminal output — now superseded by cli

debugme

Easy and efficient debugging for R packages

desc

Manipulate DESCRIPTION files

dials

Tools for creating tuning parameter values

discrim

Wrappers for discriminant analysis and naive Bayes models for use with the parsnip package

embed

Extra recipes for predictor embeddings

filelock

Cross platform file locking in R

gargle

Infrastructure for calling Google APIs from R, including auth

glue

Glue strings to data in R. Small, fast, dependency free interpreted string literals

googledrive

Google Drive R API

hardhat

Construct Modeling Packages

keyring

:closed_lock_with_key: Access the system credential store from R

liteq

Serverless R message queue using SQLite

nanoparquet

R package to read and write Parquet files

pak

A fresh approach to package installation

pingr

ICMP and TCP ping and related tools

pins-r

Pin, discover, and share resources

pkgapi

Create a map of functions for an R package - WORK IN PROGRESS!

pkgbuild

Find tools needed to build R packages

pkgconfig

Private configuration for R packages

pkgdepends

R Package Dependency Resolution

pkgload

Simulate installing and loading a package

prettycode

Syntax highlight R code in the terminal

prettyunits

Pretty, human readable formatting of quantities

probably

Tools for post-processing class probability estimates

processx

Execute and Control Subprocesses from R

progress

Progress bar in your R terminal

r-builds

an opinionated environment for compiling R

r-system-requirements

System requirements for R packages

rappdirs

Find OS-specific directories to store data, caches, and logs. A port of python's AppDirs

rcmdcheck

Run R CMD check from R and collect the results

rematch2

Tidy output from regular expression matches

remotes

Install R packages from GitHub, GitLab, Bitbucket, git, svn repositories, URLs

revdepcheck

R package reverse dependency checking

rig

The R Installation Manager

RMariaDB

An R interface to MariaDB

RMySQL

Legacy DBI interface for MySQL

RSQLite

R interface for SQLite

rules

parsnip extension for rule-based models

sessioninfo

Print Session Information

Shiny

Easy interactive web applications with R

shiny-examples

shinytest

Automated testing for shiny apps

slider

Sliding Window Functions

stacks

An R package for tidy stacked ensemble modeling

svglite

A lightweight svg graphics device for R

tidyposterior

Bayesian comparisons of models using resampled statistics

tune

Tools for tidy parameter tuning

urlchecker

Run CRAN URL checks from older versions of R

usemodels

Boilerplate Code for tidymodels

webdriver

WebDriver client in R

webfakes

Fake web apps for HTTP testing R packages

withr

Methods For Temporarily Modifying Global State

workflows

Modeling Workflows

workflowsets

Create a collection of modeling workflows

xml2

Bindings to libxml2

xopen

Open System Files, URLs, Anything

zip

Platform independent zip compression via miniz

Gabor Csardi | pkgman A fresh approach to package installation | RStudio (2019)

The main goals of pkgman is to make package installation fast and more reliable. This allows new, simpler and safer workflows, such as separate package libraries for projects. In this talk, we will show the features that make pkgman fast, convenient and reliable. Features that make pkgman fast: * Concurrency: pkgman performs all downloads, package builds and installations concurrently by default. * Metadata and package cache: pkgman caches all metadata and all downloaded and locally built packages in its cache. * Lazyness: pkgman only downloads and installs packages if needed. Features that make pkgman convenient: * BioC and GitHub packages are supported seamlessly. * Informative UI. pkgman can lay out the installation/update plan, that the user needs to confirm. It returns data about downloads, builds, installations, etc. Features that make pkgman reliable: * Dependency solver. pkgman makes sure that you end up in consistent, working state of dependencies. * Private library: pkgman's own dependencies do not affect your regular package library, and vice versa. pkgman does not load any packages from your regular library. About the Author Gábor Csárdi Gábor is a software engineer at RStudio, working in Hadley’s team on R infrastructure packages

Gábor Csárdi