useR_packages.xlsx

Package	Talk	Speaker
AF	'AF' a new package for estimating the attributable fraction	Dahlqwist
archivist	How to use the archivist package to boost reproducibility of your research	Biecek
argufy	Tools for Robust R Packages	Csárdi
assertive	Run-time Testing Using assertive	Cotton
bamdit	bamdit: An R Package for Bayesian Meta-Analysis of Diagnostic Test Data	Verde
bayesboot	bayesboot: An R package for easy Bayesian bootstrapping	Bååth
bayesDem	United Nations World Population Projections with R	Ševčíková
bayesLife	United Nations World Population Projections with R	Ševčíková
bayesmix	Bayesian analysis of generalized linear mixed models with JAGS	Plummer
bayesPop	United Nations World Population Projections with R	Ševčíková
bayesTFR	United Nations World Population Projections with R	Ševčíková
benchnarkme	Crowd sourced benchmarks	Colin Gillespie
bigKRLS	bigKRLS: optimizing non-parametric regression in R	Mohanty
brglm	brglm: Reduced-bias inference in generalized linear models	Kosmidis
broom	broom: Converting statistical models to tidy data frames	Robinson
checkmate	Checkmate: Fast and Versatile Argument Checks	Lang
ClimDown	High performance climate downscaling in R	James Hiebert
colorspace	Heatmaps in R: Overview and Best Practices	Galili
covr	Covr: Bringing Code Coverage to R	Hester
covr	Tools for Robust R Packages	Csárdi
CVXR	CVXR: An R Package for Modeling Convex Optimization Problems	Fu
d3heatmap	Heatmaps in R: Overview and Best Practices	Galili
data.table	Efficient in-memory non-equi joins using data.table	Srinivasan
DataShield	DataSHIELD: Taking the analysis to the data	Wilson
ddR	Distributed Computing using parallel, Distributed R, and SparkR	MA
DECIPHER	Analysis of big biological sequence datasets using the DECIPHER package	Wright
DECIPHER	Analysis of big biological sequence datasets using the DECIPHER packag	Erik Scott Wright
dendextend	Heatmaps in R: Overview and Best Practices	Galili
DendSer	Heatmaps in R: Overview and Best Practices	Galili
deSolve	An embedded domain-specific language for ODE-based drug-disease modeling and simulation	James
deSolve	Differential equation-based models in R: An approach to simplicity and performance	Petzoldt
difR	Detection of Differential Item Functioning with difNLR function	Martinkova
dosresmeta	Meta-Analysis of Epidemiological Dose-Response Studies with the dosresmeta R package	Crippa
dplyr	broom: Converting statistical models to tidy data frames	Robinson
dplyr	Efficient tabular data ingestion and manipulation with MonetDBLite	Mühleisen
edeaR	edeaR: extracting knowledge from process data	Janssenswillen
etl	ETL for Medium Data	Baumer
fitbitscraper	Importing modern data into R	Luraschi
FlashR	FlashR: Enable Parallel, Scalable Data Analysis in R	Zheng
flexdashboard	flexdashboard: Easy interactive dashboards for R	McPherson
future	A Future for R	Bengtsson
GGally	ggduo: Pairs plot for two group data	Schloerke
ggplot2	broom: Converting statistical models to tidy data frames	Robinson
ggplot3	ggduo: Pairs plot for two group data	Schloerke
ggplot4	Heatmaps in R: Overview and Best Practices	Galili
ggplot5	Practical tools for exploratory web graphics	Sievert
ggplot6	FiveThirtyEight's Data Journalism Workflow With R	Andrew Flowers
glmmsr	"Approximate inference in R: a case study with GLMMs and glmmsr
"	Ogden
goodPractice	Tools for Robust R Packages	Csárdi
googleVis	Experiences on the Use of R in the Water Sector	David Ibarra
gplots	Heatmaps in R: Overview and Best Practices	Galili
haven	Importing modern data into R	Luraschi
hrmlwidgets	New Paradigms In Shiny App Development: Designer + Data Scientist Pairing	Horowitz
htmlwidgets	Linking htmlwidgets with crosstalk and mobservable	Cheng
htmlwidgets	Practical tools for exploratory web graphics	Sievert
htmlwidgets	Htmlwidgets: Power of Javascript in R	Ramnath Vaidyanathan
HydeNet	Bayesian analysis of generalized linear mixed models with JAGS	Plummer
iBUGS	Bayesian analysis of generalized linear mixed models with JAGS	Plummer
igraph	Network Diffusion of Innovations in R: Introducing netdiffuseR	Vega Yon
INLABMA	Fitting Complex Bayesian Models with R-INLA and MCMC	Gómez-Rubio
jags	Bayesian analysis of generalized linear mixed models with JAGS	Plummer
jagsUI	Bayesian analysis of generalized linear mixed models with JAGS	Plummer
jsonlite	Importing modern data into R	Luraschi
knitr	Automating our work away: one consulting firm's experience with KnitR.	Timbers
knitr	How to use the archivist package to boost reproducibility of your research	Biecek
knitr	Providing Digital Provenance: from Modeling through Production	de la Rubia
leaflet	A spatial policy tool for cycling potential in England	Ali Abbas
limma	Fry: A Fast Interactive Biological Pathway Miner	Giner
lint	Rethinking R Documentation: an extension of the lint package	Redd
lintr	Tools for Robust R Packages	Csárdi
lordif	Detection of Differential Item Functioning with difNLR function	Martinkova
lpSolveAPO	Experiences on the Use of R in the Water Sector	David Ibarra
LTPDvar	Calculation and economic evaluation of acceptance sampling plans	Kasprikova
matlib	Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R	Fox
mgcv	Fast additive quantile regression in R	Matteo Fasiolo
mhurdle	Multiple Hurdle Tobit models in R: the mhurdle package	Croissant
mirMbo	mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions	Richter
mlt	Most Likely Transformations	Hothorn
mlxR	An embedded domain-specific language for ODE-based drug-disease modeling and simulation	James
MonetDB.R	Efficient tabular data ingestion and manipulation with MonetDBLite	Mühleisen
MonetDBLite	Efficient tabular data ingestion and manipulation with MonetDBLite	Mühleisen
mrgsolve	An embedded domain-specific language for ODE-based drug-disease modeling and simulation	James
mumm	mumm: An R-package for fitting multiplicative mixed models using the Template Model Builder (TMB)	Jensen
MXNet	Deep Learning for R with MXNet	Kou
netdiffuseR	Network Diffusion of Innovations in R: Introducing netdiffuseR	Vega Yon
nethet	Two-sample testing in high dimensions	Nicolas Staedler
nlmeODE	An embedded domain-specific language for ODE-based drug-disease modeling and simulation	James
no packages called out	RosettaHUB-Sheets, a programmable, collaborative web-based spreadsheet for R, Python and Spark	Latifa Bouabdillah
no packages called out	Teaching R to 200 people in a week	Michael Andrew Levy
no packages called out	How to keep your R code simple while tackling big datasets	Charles Arthur Piercey
no packages called out	Helping R Stay in the Lead by Deploying Models with PFA	Stuart Bailey
no packages called out	R in machine learning competitions 	Anthony Goldbloom
no packages called out	Wrapping Your R tools to Analyze National-Scale Cancer Genomics in the Cloud	Benoit Liquet
no packages called out	Compiling parts of R using the NIMBLE system for programming algorithms	Christopher J. Paciorek
no packages called out	Implementing R in old economy companies: From proof-of-concept to production	Oliver Bracht
no packages called out	Connecting R to the OpenML project for Open Machine Learning	Joaquin Vanschoren
no packages called out	R: The last line of defense against bad debt.	Alberto Martin Zamora
no packages called out	Taking R to new heights for scalability and performance	Mark Hornick
no packages called out	jailbreakr: Get out of Excel, free	Jenny Bryan
no packages called out	Advancing In-memory Analytics and Interoperability for R (and Python)	Wes McKinney
no packages called out	Capturing and understanding patterns in plant genetic resource data to develop climate change adaptive crops using the R platform	Abdallah Bari
no packages called out	Continuous Integration and Teaching Statistical Computing with R	Colin Rundel
no packages called out	Transforming a Museum to be data-driven using R	Alice Daish
no packages called out	What can R learn from Julia	Jan Vitek
no packages called out	Statistics and R in Forensic Genetics	Mikkel Meyer Andersen
no packages called out	Zero-overhead integration of R, JS, Ruby and C/C++	Lukas Stadler
no packages called out	R at Microsoft	David Smith
no packages called out	When will this machine fail?	Xinwei Xue
no packages called out	The challenge of combining 176 x #otherpeoplesdata to create the Biomass And Allometry Database (BAAD)	Daniel Stein Falster
no packages called out	R AnalyticFlow 3: Interactive Data Analysis GUI for R	Ryota Suzuki
no packages called out	Rho: High Performance R	Karl Millar
no packages called out	Applying R in Streaming and Business Intelligence Applications	Lou Bajuk-Yorgan
no packages called out	Size of Datasets for Analytics and Implications for R	Szilard Pafka
no packages called out	On the emergence of R as a platform for emergency outbreak response	Thibaut Jombart
no packages called out	Reusable R for automation, small area estimation and legacy systems	Rhydwyn McGuire
no packages called out	The options and challenges of spatial analysis in R	Bhaskar V. Karambelkar
no packages called out	Adding R, Jupyter and Spark to the toolset for understanding the complex computing systems at CERN's Large Hadron Collider	Dirk Duellmann
no packages called out	Dynamic Data in the Statistics Classroom	Johanna Hardin
no packages called out	Using Jupyter notebooks with R in the classroom	Tanya Tickel Schlusser
no packages called out	viztrackr: Tracking and discovering plots via automatic semantic annotations	Gabriel Becker
RODBC	Importing modern data into R	Luraschi
OPERA	OPERA: Online Prediction by ExpeRts Aggregation	Goude
packrat	Providing Digital Provenance: from Modeling through Production	de la Rubia
parallel	Distributed Computing using parallel, Distributed R, and SparkR	Ma
parallel	Resource-Aware Scheduling Strategies for Parallel Machine Learning R Programs though RAMBO	Kotthaus
partykit	Predicting individual treatment effects	Seibold
pbdZMQ	Interactive Terabytes with pbdR	Cheng
permuter	permuter: An R Package for Randomization Inference	Ottoboni
phangorn	The phangorn package: estimating and comparing phylogenetic trees	Schliep
phyloseq	Phylogenetically informed analysis of microbiome data using adaptive gPCA in R	Fukuyama
pkgconfig	Tools for Robust R Packages	Csárdi
PKPDsim	An embedded domain-specific language for ODE-based drug-disease modeling and simulation	James
plotly	Heatmaps in R: Overview and Best Practices	Galili
plotly	Practical tools for exploratory web graphics	Sievert
profvis	Profvis: Profiling tools for faster R code	Chang
proglang	Estimation of causal effects in network-dependent data	Sofrygin
R/qtl	R/qtl: Just Barely Sustainable	Browman
R2Jags	Bayesian analysis of generalized linear mixed models with JAGS	Plummer
randomForest	Classifying Murderers in Imbalanced Data Using randomForest	Miranda
ranger	ranger: A fast implementation of random forests for high dimensional data	Wright
Rblpapi	Extending CRAN packages with binaries: x13binary	Eddelbuettel
rbokeh	rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics	Hafen
Rcpp	Experiences on the Use of R in the Water Sector	David Ibarra
RcppParallel	RcppParallel: A Toolkit for Portable, High-Performance Algorithms	Ushey
readr	Importing modern data into R	Luraschi
readxl	Importing modern data into R	Luraschi
recommenderlab	Rectools: An Advanced Recommender System	Pooja Rajkumar
recosystem	Rectools: An Advanced Recommender System	Pooja Rajkumar
rectools	Rectools: An Advanced Recommender System	Pooja Rajkumar
Rfit	Big Data Algorithms for Rank-based Estimation	Kloke
rgl	Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R	Fox
R-Hadoop	FlashR: Enable Parallel, Scalable Data Analysis in R	Zheng
R-INLA	Fitting Complex Bayesian Models with R-INLA and MCMC	Gómez-Rubio
Rinside	Experiences on the Use of R in the Water Sector	David Ibarra
rmarkdown	Authoring Books with R Markdown	Xie
rmarkdown	flexdashboard: Easy interactive dashboards for R	McPherson
rmarkdown	Linking htmlwidgets with crosstalk and mobservable	Cheng
rmarkdown	Notebooks with R Markdown	Allaire
rmarkdown	R markdown: Lifesaver or death trap?	Godfrey
rmarkdown	Revolutionize how you teach and blog: add interactivity	Schouwenaars
rmarkdown	RServer: Operationalizing R at Electronic Arts	Weber
rmarkdown	Using Shiny for Formative Assessments	Bryer
rmarkdown	Using Spark with Shiny and R Markdown	Allen
rmarkdown	A first-year undergraduate data science course	Mine Cetinkaya-Rundel
rmarkdown	A Lap Around R Tools for Visual Studio	John Lam
rmarkdown	GNU make for reproducible data analysis using R and other statistical software	Peter John Baker
rminions	Grid Computing in R with Easy Scalability	Jonathan Adams
Rmpi	FlashR: Enable Parallel, Scalable Data Analysis in R	Zheng
rMVPA	Multivoxel Pattern Analysis of fMRI Data	Buchsbaum
RODBC	Exploring the R / SQL boundary	Gopi Kumar
rodeo	Differential equation-based models in R: An approach to simplicity and performance	Petzoldt
rodeoApp	Differential equation-based models in R: An approach to simplicity and performance	Petzoldt
Rsiena	Network Diffusion of Innovations in R: Introducing netdiffuseR	Vega Yon
rstan	bamdit: An R Package for Bayesian Meta-Analysis of Diagnostic Test Data	Verde
rstan	Bayesian analysis of generalized linear mixed models with JAGS	Plummer
runjags	Bayesian analysis of generalized linear mixed models with JAGS	Plummer
RxODE	An embedded domain-specific language for ODE-based drug-disease modeling and simulation	James
seriation	Heatmaps in R: Overview and Best Practices	Galili
sgPLS	Group and Sparse Group Partial Least Square Approaches Applied in Genomics Context	Liquet
shiny	An embedded domain-specific language for ODE-based drug-disease modeling and simulation	James
shiny	Authoring Books with R Markdown	Xie
shiny	Differential equation-based models in R: An approach to simplicity and performance	Petzoldt
shiny	flexdashboard: Easy interactive dashboards for R	McPherson
shiny	Interactive Naive Bayes using Shiny: Text Retrieval, Classification, Quantification	Di Nunzio
shiny	Linking htmlwidgets with crosstalk and mobservable	Cheng
shiny	New Paradigms In Shiny App Development: Designer + Data Scientist Pairing	Horowitz
shiny	Phylogenetically informed analysis of microbiome data using adaptive gPCA in R	Fukuyama
shiny	Practical tools for exploratory web graphics	Sievert
shiny	rbokeh: A Simple, Flexible, Declarative Framework for Interactive Graphics	Hafen
shiny	Real-time analysis of the intraday financial volatility: Big data, simulations and stochastic volatility using R	Santos
shiny	RServer: Operationalizing R at Electronic Arts	Weber
shiny	Shiny Gadgets: Interactive tools for Programming and Data Analysis	Grolemund
shiny	Simulation and power analysis of generalized linear mixed models	LeBeau
shiny	United Nations World Population Projections with R	Ševčíková
shiny	Using R in a regulatory environment: FDA experiences.	Schuette
shiny	Using Shiny for Formative Assessments	Bryer
shiny	Using Spark with Shiny and R Markdown	Allen
shiny	Visual Pruner: A Shiny app for cohort selection in observational studies	Samuels
shiny	How can I get everyone else in my organisation to love R as much as I do?	Kate Ross-Smith
shiny	Introducing Statistics with intRo	Andee Kaplan
shiny	Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny	Rachel Lynne Wilkerson
shiny	Colour schemes in data visualisation: Bias and Precision	William K. Cornwell
shiny	A Lap Around R Tools for Visual Studio	John Lam
shiny	Data Landscapes: a pragmatic and philosophical visualisation of the sustainable urban landscape	Tatjana Kecojevic
shiny	A spatial policy tool for cycling potential in England	Ali Abbas
simcausal	Estimation of causal effects in network-dependent data	Sofrygin
simglm	Simulation and power analysis of generalized linear mixed models	LeBeau
simPop	Simulation of Synthetic Complex Data: The R-Package simPop	Kowarik
simPop	Simulation of Synthetic Complex Data: The R-Package simPop	Alexander Kowarik
simulator	The simulator: An Engine for Streamlining Simulations	Bien
SparkR	Distributed Computing using parallel, Distributed R, and SparkR	Ma
SparkR	Using Spark with Shiny and R Markdown	Allen
spatialProbit	SpatialProbit for fast and accurate spatial probit estimations	Martinetti
statnet	Network Diffusion of Innovations in R: Introducing netdiffuseR	Vega Yon
stplanr	A spatial policy tool for cycling potential in England	Ali Abbas
superheat	Superheat: Supervised heatmaps for visualizing complex data	Barter
survival	Predicting individual treatment effects	Seibold
swirl	swirl-tbp: a package for interactively learning R programming and data science through the addition of 'template-based practice' problems in swirl	Dancik
swirl-tpp	swirl-tbp: a package for interactively learning R programming and data science through the addition of 'template-based practice' problems in swirl	Dancik
TBM	mumm: An R-package for fitting multiplicative mixed models using the Template Model Builder (TMB)	Jensen
testthat	Checkmate: Fast and Versatile Argument Checks	Lang
TH.data	Predicting individual treatment effects	Seibold
tidyr	broom: Converting statistical models to tidy data frames	Robinson
TraceR	Resource-Aware Scheduling Strategies for Parallel Machine Learning R Programs though RAMBO	Kotthaus
trackR	trackeR: Infrastructure for Running and Cycling Data from GPS-Enabled Tracking Devices in R	Frick
validate	Data validation infrastructure: the validate package	van der Loo
viridis	Heatmaps in R: Overview and Best Practices	Galili
wppExplorer	United Nations World Population Projections with R	Ševčíková
WRV	A Case Study in Reproducible Model Building: Simulating Groundwater Flow in the Wood River Valley Aquifer System, Idaho	Fisher
WTAQ-2	Wrap your model in an R package!	Rustler
x13binary	Extending CRAN packages with binaries: x13binary	Eddelbuettel
xgboost	xgboost: An R package for Fast and Accurate Gradient Boosting	He
xml2	Importing modern data into R	Luraschi
ZPL	Inside the Rent Zestimates	Yeng Bun
tmlenet	Estimation of causal effects in network-dependent data	Sofrygin