Trending packages

promises — 1.0.1

Abstractions for Promise-Based Asynchronous Programming

uroot — 2.0-9

Unit Root Tests for Seasonal Time Series

later — 0.7.1

Utilities for Delaying Function Execution

dotwhisker — 0.4.1

Dot-and-Whisker Plots of Regression Results

CARBayesST — 2.5.2

Spatio-Temporal Generalised Linear Mixed Models for Areal Unit Data

hergm — 3.2-0

Hierarchical Exponential-Family Random Graph Models

zCompositions — 1.1.1

Treatment of Zeros and Nondetects in Compositional Data Sets

aroma.affymetrix — 3.1.1

Analysis of Large Affymetrix Microarray Data Sets

coneproj — 1.14

Primal or Dual Cone Projections with Routines for Constrained Regression

default — 1.0.0

Change the Default Arguments in R Functions

geostatsp — 1.7.1

Geostatistical Modelling with Likelihood and Bayes

Luminescence — 0.8.4

Comprehensive Luminescence Dating Data Analysis

geometry — 0.3-6

Mesh Generation and Surface Tesselation

NADA — 1.6-1

Nondetects and Data Analysis for Environmental Data

mlegp — 3.1.7

Maximum Likelihood Estimates of Gaussian Processes

enveomics.R — 1.3

Various Utilities for Microbial Genomics and Metagenomics

MARSS — 3.10.8

Multivariate Autoregressive State-Space Modeling

manipulateWidget — 0.9.0

Add Even More Interactivity to Interactive Charts

rio — 0.5.10

A Swiss-Army Knife for Data I/O

SixSigma — 0.9-52

Six Sigma Tools for Quality Control and Improvement

spaMM — 2.4.8

Mixed-Effect Models, Particularly Spatial Models

magic — 1.5-8

Create and Investigate Magic Squares

caper — 1.0.1

Comparative Analyses of Phylogenetics and Evolution in R

dbarts — 0.9-3

Discrete Bayesian Additive Regression Trees Sampler

openxlsx — 4.0.17

Read, Write and Edit XLSX Files

urca — 1.3-0

Unit Root and Cointegration Tests for Time Series Data

tmvtnorm — 1.4-10

Truncated Multivariate Normal and Student t Distribution

carData — 3.0-1

Companion to Applied Regression Data Sets

tinytex — 0.5

Helper Functions to Install and Maintain 'TeX Live', and Compile 'LaTeX' Documents

labelled — 1.0.1

Manipulating Labelled Data

qdap — 2.2.9

Bridging the Gap Between Qualitative Data and Quantitative Analysis

rootSolve — 1.7

Nonlinear Root Finding, Equilibrium and Steady-State Analysis of Ordinary Differential Equations

openNLP — 0.2-6

Apache OpenNLP Tools Interface

questionr — 0.6.2

Functions to Make Surveys Processing Easier

pec — 2018.04.18

Prediction Error Curves for Risk Prediction Models in Survival Analysis

ggimage — 0.1.4

Use Image in 'ggplot2'

maptools — 0.9-2

Tools for Reading and Handling Spatial Objects

miniUI — 0.1.1

Shiny UI Widgets for Small Screens

ggridges — 0.5.0

Ridgeline Plots in 'ggplot2'

classInt — 0.2-3

Choose Univariate Class Intervals

survival — 2.42-3

Survival Analysis

ltm — 1.1-1

Latent Trait Models under IRT

abind — 1.4-5

Combine Multidimensional Arrays

riskRegression — 2018.04.21

Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks

quanteda — 1.2.0

Quantitative Analysis of Textual Data

estimability — 1.3

Tools for Assessing Estimability of Linear Predictions

cluster — 2.0.7-1

"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.

spData — 0.2.8.3

Datasets for Spatial Analysis

prettyunits — 1.0.2

Pretty, Human Readable Formatting of Quantities

BDgraph — 2.46

Bayesian Structure Learning in Graphical Models using Birth-Death MCMC

gh — 1.0.1

'GitHub' 'API'

tigris — 0.7

Load Census TIGER/Line Shapefiles

aws.signature — 0.4.1

Amazon Web Services Request Signatures

repr — 0.13

Serializable Representations

stopwords — 0.9.0

Multilingual Stopword Lists

fpp2 — 2.3

Data for "Forecasting: Principles and Practice" (2nd Edition)

forcats — 0.3.0

Tools for Working with Categorical Variables (Factors)

clisymbols — 1.2.0

Unicode Symbols at the R Prompt

rstantools — 1.5.0

Tools for Developing R Packages Interfacing with 'Stan'

loo — 2.0.0

Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models

OceanView — 1.0.4

Visualisation of Oceanographic Data and Model Output

haven — 1.1.1

Import and Export 'SPSS', 'Stata' and 'SAS' Files

ISOcodes — 2017.09.27

Selected ISO Codes

SQUAREM — 2017.10-1

Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms

mvnormtest — 0.1-9

Normality test for multivariate variables

ini — 0.3.0

Read and Write '.ini' Files

plot3Drgl — 1.0.1

Plotting Multi-Dimensional Data - Using 'rgl'

prediction — 0.3.2

Tidy, Type-Safe 'prediction()' Methods

sp — 1.2-7

Classes and Methods for Spatial Data

robCompositions — 2.0.7

Robust Estimation for Compositional Data

pamr — 1.55

Pam: prediction analysis for microarrays

ggExtra — 0.8

Add Marginal Histograms to 'ggplot2', and More 'ggplot2' Enhancements

fst — 0.8.4

Lightning Fast Serialization of Data Frames for R

alr4 — 1.0.6

Data to Accompany Applied Linear Regression 4th Edition

xfun — 0.1

Miscellaneous Functions by 'Yihui Xie'

rtweet — 0.6.0

Collecting Twitter Data

spacyr — 0.9.9

Wrapper to the 'spaCy' 'NLP' Library

prodlim — 2018.04.18

Product-Limit Estimation for Censored Event History Analysis

MLmetrics — 1.1.1

Machine Learning Evaluation Metrics

WDI — 2.5

World Development Indicators (World Bank)

optparse — 1.4.4

Command Line Option Parser

debugme — 1.1.0

Debug R Packages

inum — 1.0-0

Interval and Enum-Type Representation of Vectors

readxl — 1.1.0

Read Excel Files

lmerTest — 3.0-0

Tests in Linear Mixed Effects Models

MVN — 5.2

Multivariate Normality Tests

tseries — 0.10-44

Time Series Analysis and Computational Finance

klaR — 0.6-14

Classification and Visualization

emmeans — 1.1.3

Estimated Marginal Means, aka Least-Squares Means

mstate — 0.2.11

Data Preparation, Estimation and Prediction in Multi-State Models

Rvmmin — 2018-4.17

Variable Metric Nonlinear Function Minimization

tidyquant — 0.5.4

Tidy Quantitative Financial Analysis

kableExtra — 0.8.0

Construct Complex Table with 'kable' and Pipe Syntax

RANN — 2.5.1

Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 Metric

ggfortify — 0.4.4

Data Visualization Tools for Statistical Analysis Results

libcoin — 1.0-1

Linear Test Statistics for Permutation Inference

arm — 1.10-1

Data Analysis Using Regression and Multilevel/Hierarchical Models

subselect — 0.14

Selecting Variable Subsets

pillar — 1.2.1

Coloured Formatting for Columns

Matrix — 1.2-14

Sparse and Dense Matrix Classes and Methods