Package |
Talk |
AF |
'AF'
a new package for estimating the attributable
fraction |
archivist |
How
to use the archivist package to boost reproducibility of your
research |
argufy |
Tools
for Robust R Packages |
assertive |
Run-time
Testing Using assertive |
bamdit |
bamdit: An R Package for Bayesian Meta-Analysis of
Diagnostic Test Data |
bayesboot |
bayesboot: An R package for easy Bayesian
bootstrapping |
bayesDem |
United
Nations World Population Projections with
R |
bayesLife |
United
Nations World Population Projections with
R |
bayesmix |
Bayesian
analysis of generalized linear mixed models with
JAGS |
bayesPop |
United
Nations World Population Projections with
R |
bayesTFR |
United
Nations World Population Projections with
R |
benchnarkme |
Crowd
sourced benchmarks |
bigKRLS |
bigKRLS: optimizing non-parametric regression in
R |
brglm |
brglm: Reduced-bias inference in generalized linear
models |
broom |
broom:
Converting statistical models to tidy data
frames |
checkmate |
Checkmate:
Fast and Versatile Argument Checks |
ClimDown |
High
performance climate downscaling in R |
colorspace |
Heatmaps in R: Overview and Best
Practices |
covr |
Covr: Bringing Code Coverage to
R |
covr |
Tools
for Robust R Packages |
CVXR |
CVXR:
An R Package for Modeling Convex Optimization
Problems |
d3heatmap |
Heatmaps in R: Overview and Best
Practices |
data.table |
Efficient
in-memory non-equi joins using data.table |
DataShield |
DataSHIELD: Taking the analysis to the
data |
ddR |
Distributed
Computing using parallel, Distributed R, and SparkR |
DECIPHER |
Analysis
of big biological sequence datasets using the DECIPHER
package |
DECIPHER |
Analysis
of big biological sequence datasets using the DECIPHER packag |
dendextend |
Heatmaps in R: Overview and Best
Practices |
DendSer |
Heatmaps in R: Overview and Best
Practices |
deSolve |
An
embedded domain-specific language for ODE-based drug-disease modeling and
simulation |
deSolve |
Differential
equation-based models in R: An approach to simplicity and
performance |
difR |
Detection
of Differential Item Functioning with difNLR
function |
dosresmeta |
Meta-Analysis
of Epidemiological Dose-Response Studies with the dosresmeta R
package |
dplyr |
broom:
Converting statistical models to tidy data
frames |
dplyr |
Efficient
tabular data ingestion and manipulation with MonetDBLite |
edeaR |
edeaR: extracting knowledge from process
data |
etl |
ETL for
Medium Data |
fitbitscraper |
Importing
modern data into R |
FlashR |
FlashR: Enable Parallel, Scalable Data Analysis in
R |
flexdashboard |
flexdashboard: Easy interactive dashboards for
R |
future |
A Future for
R |
GGally |
ggduo: Pairs plot for two group
data |
ggplot2 |
broom:
Converting statistical models to tidy data
frames |
ggplot2 |
ggduo: Pairs plot for two group
data |
ggplot2 |
Heatmaps in R: Overview and Best
Practices |
ggplot2 |
Practical
tools for exploratory web graphics |
ggplot2 |
FiveThirtyEight's
Data Journalism Workflow With
R |
glmmsr |
Approximate
inference in R: a case study with GLMMs and glmmsr
|
goodPractice |
Tools
for Robust R Packages |
googleVis |
Experiences
on the Use of R in the Water Sector |
gplots |
Heatmaps in R: Overview and Best
Practices |
haven |
Importing
modern data into R |
hrmlwidgets |
New
Paradigms In Shiny App Development: Designer +
Data Scientist Pairing |
htmlwidgets |
Linking
htmlwidgets with crosstalk and mobservable |
htmlwidgets |
Practical
tools for exploratory web graphics |
htmlwidgets |
Htmlwidgets: Power of Javascript in R |
HydeNet |
Bayesian
analysis of generalized linear mixed models with
JAGS |
iBUGS |
Bayesian
analysis of generalized linear mixed models with
JAGS |
igraph |
Network
Diffusion of Innovations in R: Introducing netdiffuseR |
INLABMA |
Fitting
Complex Bayesian Models with R-INLA and
MCMC |
jags |
Bayesian
analysis of generalized linear mixed models with
JAGS |
jagsUI |
Bayesian
analysis of generalized linear mixed models with
JAGS |
jsonlite |
Importing
modern data into R |
knitr |
Automating
our work away: one consulting firm's experience with KnitR. |
knitr |
How
to use the archivist package to boost reproducibility of your
research |
knitr |
Providing
Digital Provenance: from Modeling through
Production |
leaflet |
A
spatial policy tool for cycling potential in
England |
limma |
Fry:
A Fast Interactive Biological Pathway
Miner |
lint |
Rethinking
R Documentation: an extension of the lint
package |
lintr |
Tools
for Robust R Packages |
lordif |
Detection
of Differential Item Functioning with difNLR
function |
lpSolveAPO |
Experiences
on the Use of R in the Water Sector |
LTPDvar |
Calculation
and economic evaluation of acceptance sampling
plans |
matlib |
Visualizing
Simultaneous Linear Equations, Geometric Vectors, and Least-Squares
Regression with the matlib Package for
R |
mgcv |
Fast
additive quantile regression in R |
mhurdle |
Multiple
Hurdle Tobit models in R: the mhurdle
package |
mirMbo |
mlrMBO: A Toolbox for Model-Based Optimization of
Expensive Black-Box Functions |
mlt |
Most
Likely Transformations |
mlxR |
An
embedded domain-specific language for ODE-based drug-disease modeling and
simulation |
MonetDB.R |
Efficient
tabular data ingestion and manipulation with MonetDBLite |
MonetDBLite |
Efficient
tabular data ingestion and manipulation with MonetDBLite |
mrgsolve |
An
embedded domain-specific language for ODE-based drug-disease modeling and
simulation |
mumm |
mumm: An R-package for fitting multiplicative mixed
models using the Template Model Builder
(TMB) |
MXNet |
Deep
Learning for R with MXNet |
netdiffuseR |
Network
Diffusion of Innovations in R: Introducing netdiffuseR |
nethet |
Two-sample
testing in high dimensions |
nlmeODE |
An
embedded domain-specific language for ODE-based drug-disease modeling and
simulation |
no
packages called out |
RosettaHUB-Sheets, a programmable, collaborative
web-based spreadsheet for R, Python and
Spark |
no
packages called out |
Teaching
R to 200 people in a week |
no
packages called out |
How
to keep your R code simple while tackling big
datasets |
no
packages called out |
Helping
R Stay in the Lead by Deploying Models with
PFA |
no
packages called out |
R
in machine learning competitions |
no
packages called out |
Wrapping
Your R tools to Analyze National-Scale Cancer Genomics in the
Cloud |
no
packages called out |
Compiling
parts of R using the NIMBLE system for programming
algorithms |
no
packages called out |
Implementing
R in old economy companies: From proof-of-concept to
production |
no
packages called out |
Connecting
R to the OpenML project for Open Machine
Learning |
no
packages called out |
R:
The last line of defense against bad
debt. |
no
packages called out |
Taking
R to new heights for scalability and
performance |
no
packages called out |
jailbreakr: Get out of Excel,
free |
no
packages called out |
Advancing
In-memory Analytics and Interoperability for R (and
Python) |
no
packages called out |
Capturing
and understanding patterns in plant genetic resource data to develop
climate change adaptive crops using the R
platform |
no
packages called out |
Continuous
Integration and Teaching Statistical Computing with
R |
no
packages called out |
Transforming
a Museum to be data-driven using R |
no
packages called out |
What
can R learn from Julia |
no
packages called out |
Statistics
and R in Forensic Genetics |
no
packages called out |
Zero-overhead
integration of R, JS, Ruby and C/C++ |
no
packages called out |
R at
Microsoft |
no
packages called out |
When
will this machine fail? |
no
packages called out |
The
challenge of combining 176 x #otherpeoplesdata to create the Biomass And
Allometry Database
(BAAD) |
no
packages called out |
R
AnalyticFlow 3: Interactive Data Analysis
GUI for R |
no
packages called out |
Rho:
High Performance R |
no
packages called out |
Applying
R in Streaming and Business Intelligence
Applications |
no
packages called out |
Size
of Datasets for Analytics and Implications for
R |
no
packages called out |
On
the emergence of R as a platform for emergency outbreak
response |
no
packages called out |
Reusable
R for automation, small area estimation and legacy
systems |
no
packages called out |
The
options and challenges of spatial analysis in
R |
no
packages called out |
Adding
R, Jupyter and Spark to the toolset for
understanding the complex computing systems at CERN's Large Hadron
Collider |
no
packages called out |
Dynamic
Data in the Statistics Classroom |
no
packages called out |
Using
Jupyter notebooks with R in the
classroom |
no
packages called out |
viztrackr: Tracking and discovering plots via
automatic semantic annotations |
RODBC |
Importing
modern data into R |
OPERA |
OPERA:
Online Prediction by ExpeRts
Aggregation |
packrat |
Providing
Digital Provenance: from Modeling through
Production |
parallel |
Distributed
Computing using parallel, Distributed R, and SparkR |
parallel |
Resource-Aware
Scheduling Strategies for Parallel Machine Learning R Programs though
RAMBO |
partykit |
Predicting
individual treatment effects |
pbdZMQ |
Interactive
Terabytes with pbdR |
permuter |
permuter: An R Package for Randomization
Inference |
phangorn |
The
phangorn package: estimating and comparing
phylogenetic trees |
phyloseq |
Phylogenetically
informed analysis of microbiome data using adaptive gPCA in R |
pkgconfig |
Tools
for Robust R Packages |
PKPDsim |
An
embedded domain-specific language for ODE-based drug-disease modeling and
simulation |
plotly |
Heatmaps in R: Overview and Best
Practices |
plotly |
Practical
tools for exploratory web graphics |
profvis |
Profvis: Profiling tools for faster R
code |
proglang |
Estimation
of causal effects in network-dependent
data |
R/qtl |
R/qtl: Just Barely
Sustainable |
R2Jags |
Bayesian
analysis of generalized linear mixed models with
JAGS |
randomForest |
Classifying
Murderers in Imbalanced Data Using randomForest |
ranger |
ranger:
A fast implementation of random forests for high dimensional
data |
Rblpapi |
Extending
CRAN packages with binaries:
x13binary |
rbokeh |
rbokeh: A Simple, Flexible, Declarative Framework
for Interactive Graphics |
Rcpp |
Experiences
on the Use of R in the Water Sector |
RcppParallel |
RcppParallel: A Toolkit for Portable,
High-Performance Algorithms |
readr |
Importing
modern data into R |
readxl |
Importing
modern data into R |
recommenderlab |
Rectools: An Advanced Recommender
System |
recosystem |
Rectools: An Advanced Recommender
System |
rectools |
Rectools: An Advanced Recommender
System |
Rfit |
Big
Data Algorithms for Rank-based
Estimation |
rgl |
Visualizing
Simultaneous Linear Equations, Geometric Vectors, and Least-Squares
Regression with the matlib Package for
R |
R-Hadoop |
FlashR: Enable Parallel, Scalable Data Analysis in
R |
R-INLA |
Fitting
Complex Bayesian Models with R-INLA and
MCMC |
Rinside |
Experiences
on the Use of R in the Water Sector |
rmarkdown |
Authoring
Books with R Markdown |
rmarkdown |
flexdashboard: Easy interactive dashboards for
R |
rmarkdown |
Linking
htmlwidgets with crosstalk and mobservable |
rmarkdown |
Notebooks
with R Markdown |
rmarkdown |
R
markdown: Lifesaver or death trap? |
rmarkdown |
Revolutionize
how you teach and blog: add
interactivity |
rmarkdown |
RServer: Operationalizing R
at Electronic Arts |
rmarkdown |
Using
Shiny for Formative Assessments |
rmarkdown |
Using
Spark with Shiny and R Markdown |
rmarkdown |
A
first-year undergraduate data science
course |
rmarkdown |
A
Lap Around R Tools for Visual Studio |
rmarkdown |
GNU
make for reproducible data analysis using R and other statistical
software |
rminions |
Grid
Computing in R with Easy Scalability |
Rmpi |
FlashR: Enable Parallel, Scalable Data Analysis in
R |
rMVPA |
Multivoxel Pattern Analysis of fMRI
Data |
RODBC |
Exploring
the R / SQL boundary |
rodeo |
Differential
equation-based models in R: An approach to simplicity and
performance |
rodeoApp |
Differential
equation-based models in R: An approach to simplicity and
performance |
Rsiena |
Network
Diffusion of Innovations in R: Introducing netdiffuseR |
rstan |
bamdit: An R Package for Bayesian Meta-Analysis of
Diagnostic Test Data |
rstan |
Bayesian
analysis of generalized linear mixed models with
JAGS |
runjags |
Bayesian
analysis of generalized linear mixed models with
JAGS |
RxODE |
An
embedded domain-specific language for ODE-based drug-disease modeling and
simulation |
seriation |
Heatmaps in R: Overview and Best
Practices |
sgPLS |
Group
and Sparse Group Partial Least Square Approaches Applied in Genomics
Context |
shiny |
An
embedded domain-specific language for ODE-based drug-disease modeling and
simulation |
shiny |
Authoring
Books with R Markdown |
shiny |
Differential
equation-based models in R: An approach to simplicity and
performance |
shiny |
flexdashboard: Easy interactive dashboards for
R |
shiny |
Interactive
Naive Bayes using Shiny: Text Retrieval, Classification,
Quantification |
shiny |
Linking
htmlwidgets with crosstalk and mobservable |
shiny |
New
Paradigms In Shiny App Development: Designer +
Data Scientist Pairing |
shiny |
Phylogenetically
informed analysis of microbiome data using adaptive gPCA in R |
shiny |
Practical
tools for exploratory web graphics |
shiny |
rbokeh: A Simple, Flexible, Declarative Framework
for Interactive Graphics |
shiny |
Real-time
analysis of the intraday financial volatility: Big data, simulations and
stochastic volatility using R |
shiny |
RServer: Operationalizing R
at Electronic Arts |
shiny |
Shiny
Gadgets: Interactive tools for Programming and Data
Analysis |
shiny |
Simulation
and power analysis of generalized linear mixed
models |
shiny |
United
Nations World Population Projections with
R |
shiny |
Using
R in a regulatory environment: FDA
experiences. |
shiny |
Using
Shiny for Formative Assessments |
shiny |
Using
Spark with Shiny and R Markdown |
shiny |
Visual
Pruner: A Shiny app for cohort selection in observational
studies |
shiny |
How
can I get everyone else in my organisation to
love R as much as I do? |
shiny |
Introducing
Statistics with intRo |
shiny |
Modeling
Food Policy Decision Analysis with an Interactive Bayesian Network in
Shiny |
shiny |
Colour schemes in data visualisation: Bias and
Precision |
shiny |
A
Lap Around R Tools for Visual Studio |
shiny |
Data
Landscapes: a pragmatic and philosophical visualisation of the sustainable urban
landscape |
shiny |
A
spatial policy tool for cycling potential in
England |
simcausal |
Estimation
of causal effects in network-dependent
data |
simglm |
Simulation
and power analysis of generalized linear mixed
models |
simPop |
Simulation
of Synthetic Complex Data: The R-Package simPop |
simPop |
Simulation
of Synthetic Complex Data: The R-Package simPop |
simulator |
The
simulator: An Engine for Streamlining
Simulations |
SparkR |
Distributed
Computing using parallel, Distributed R, and SparkR |
SparkR |
Using
Spark with Shiny and R Markdown |
spatialProbit |
SpatialProbit for fast and accurate spatial probit
estimations |
statnet |
Network
Diffusion of Innovations in R: Introducing netdiffuseR |
stplanr |
A
spatial policy tool for cycling potential in
England |
superheat |
Superheat:
Supervised heatmaps for visualizing complex
data |
survival |
Predicting
individual treatment effects |
swirl |
swirl-tbp: a package for interactively learning R
programming and data science through the addition of 'template-based
practice' problems in swirl |
swirl-tpp |
swirl-tbp: a package for interactively learning R
programming and data science through the addition of 'template-based
practice' problems in swirl |
TBM |
mumm: An R-package for fitting multiplicative mixed
models using the Template Model Builder
(TMB) |
testthat |
Checkmate:
Fast and Versatile Argument Checks |
TH.data |
Predicting
individual treatment effects |
tidyr |
broom:
Converting statistical models to tidy data
frames |
TraceR |
Resource-Aware
Scheduling Strategies for Parallel Machine Learning R Programs though
RAMBO |
trackR |
trackeR: Infrastructure for Running and Cycling Data
from GPS-Enabled Tracking Devices in
R |
validate |
Data
validation infrastructure: the validate
package |
viridis |
Heatmaps in R: Overview and Best
Practices |
wppExplorer |
United
Nations World Population Projections with
R |
WRV |
A
Case Study in Reproducible Model Building: Simulating Groundwater Flow in
the Wood River Valley Aquifer System,
Idaho |
WTAQ-2 |
Wrap
your model in an R package! |
x13binary |
Extending
CRAN packages with binaries:
x13binary |
xgboost |
xgboost: An R package for Fast and Accurate Gradient
Boosting |
xml2 |
Importing
modern data into R |
ZPL |
Inside
the Rent Zestimates |
tmlenet |
Estimation
of causal effects in network-dependent
data |