Trending packages

UBStats — 0.4.3

Basic Statistics

mixtime — 0.3.0

Mixed Temporal Vectors and Operations

vecvec — 1.3.0

Construct Mixed Type Data Structures with Vectors of Vectors

RCPA3 — 1.3.1

Data and Functions for R Companion to Political Analysis 3rd Ed

R.matlab — 3.8.0

Read and Write MAT Files and Call MATLAB from Within R

isotone — 1.1-2

Active Set and Generalized PAVA for Isotone Optimization

seasonalytics — 0.1.0

Compute Seasonality Index, Seasonalized and Deseaonalised the Time Series Data

rdtools — 0.1.0

Efficient Manipulation of 'Rd' Files and Help Topics

samplingbook — 1.2.4

Survey Sampling Procedures

tensorflow — 2.20.0

R Interface to 'TensorFlow'

PDIndex — 0.1.0

Disease Intensity and Progress Curve Indices for Plant Pathology

ggdist — 3.3.3

Visualizations of Distributions and Uncertainty

origami — 1.0.8

Generalized Framework for Cross-Validation

DFBA — 0.1.0

Distribution-Free Bayesian Analysis

mcanalysis — 0.1.0

Markov Chain Analysis for Structural Behaviour and Stability

makedummies — 1.2.1

Create Dummy Variables from Categorical Data

ncdf4 — 1.24

Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files

cowsay — 1.2.2

Messages, Warnings, Strings with Ascii Animals

signal — 1.8-1

Signal Processing

SuperLearner — 2.0-42

Super Learner Prediction

cvAUC — 1.1.4

Cross-Validated Area Under the ROC Curve Confidence Intervals

Stat2Data — 2.0.0

Datasets for Stat2

cherryblossom — 0.1.0

Cherry Blossom Run Race Results

mosaicData — 0.20.4

Project MOSAIC Data Sets

deSolve — 1.42

Solvers for Initial Value Problems of Differential Equations ('ODE', 'DAE', 'DDE')

usdata — 0.3.1

Data on the States and Counties of the United States

openintro — 2.5.1

Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

crosstable — 0.9.0

Crosstables for Descriptive Analyses

airports — 0.1.0

Data on Airports

hrbrthemes — 0.9.3

Additional Themes, Theme Components and Utilities for 'ggplot2'

ggbiplot — 0.6.5

A Grammar of Graphics Implementation of Biplots

jmv — 2.8.0

The 'jamovi' Analyses

swirl — 2.4.5

Learn R, in R

discovr — 1.0.0

Interactive Tutorials and Data for "Discovering Statistics Using R and RStudio"

fdth — 1.5-0

Frequency Distribution Tables, Histograms and Polygons

mosaicCore — 0.9.5

Common Utilities for Other MOSAIC-Family Packages

listviewer — 4.0.0

'htmlwidget' for Interactive Views of R Lists

phia — 0.3-2

Post-Hoc Interaction Analysis

mosaic — 1.10.2

Project MOSAIC Statistics and Mathematics Teaching Utilities

imputeTestbench — 3.0.3

Test Bench for the Comparison of Imputation Methods

coneproj — 1.23

Primal or Dual Cone Projections with Routines for Constrained Regression

RMariaDB — 1.3.5

Database Interface and MariaDB Driver

NHANES — 2.1.4

Data from the US National Health and Nutrition Examination Study

ggformula — 2.0.0

Formula Interface to the Grammar of Graphics

magick — 2.9.1

Advanced Graphics and Image-Processing in R

scrutiny — 0.6.1

Error Detection in Science

pracma — 2.4.6

Practical Numerical Math Functions

micsr — 0.1-5

Microeconometrics with R

princurve — 2.1.6

Fit a Principal Curve in Arbitrary Dimension

quadprog — 1.5-8

Functions to Solve Quadratic Programming Problems

misty — 0.8.3

Miscellaneous Functions 'T. Yanagida'

scrime — 1.3.7

Analysis of High-Dimensional Categorical Data Such as SNP Data

cyclocomp — 1.1.2

Cyclomatic Complexity of R Code

markovchain — 1.0.0

Easy Handling Discrete Time Markov Chains

HistData — 1.1.0

Data Sets from the History of Statistics and Data Visualization

dslabs — 0.9.1

Data Science Labs

NADA — 1.6-1.2

Nondetects and Data Analysis for Environmental Data

shinytest2 — 0.5.1

Testing for Shiny Applications

base64 — 2.0.2

Base64 Encoder and Decoder

rentrez — 1.2.4

'Entrez' in R

hdf5r — 1.3.16

Interface to the 'HDF5' Binary Data Format

torch — 0.17.0

Tensors and Neural Networks with 'GPU' Acceleration

nnls — 1.6

The Lawson-Hanson Algorithm for Non-Negative Least Squares (NNLS)

nflreadr — 1.5.1

Download 'nflverse' Data

Matrix — 1.7-6

Sparse and Dense Matrix Classes and Methods

spatial — 7.3-19

Functions for Kriging and Point Pattern Analysis

synthpop — 1.9-3

Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control

opdisDownsampling — 1.7

Optimal Distribution Preserving Down-Sampling of Bio-Medical Data

rmutil — 1.1.10

Utilities for Nonlinear Regression and Repeated Measurements Models

nnet — 7.3-21

Feed-Forward Neural Networks and Multinomial Log-Linear Models

ade4TkGUI — 0.3.4

'ade4' Tcl/Tk Graphical User Interface

ICSOutlier — 0.4-1

Outlier Detection Using Invariant Coordinate Selection

ggstats — 0.14.0

Extension to 'ggplot2' for Plotting Stats

scTenifoldNet — 1.4

Construct and Compare scGRN from Single-Cell Transcriptomic Data

ggalluvial — 0.12.6

Alluvial Plots in 'ggplot2'

KernSmooth — 2.23-27

Functions for Kernel Smoothing Supporting Wand & Jones (1995)

gap.datasets — 0.0.6

Datasets for 'gap'

survPresmooth — 1.1-12

Presmoothed Estimation in Survival Analysis

geoarrow — 0.4.3

Extension Types for Spatial Data for Use with 'Arrow'

mratios — 1.4.4

Ratios of Coefficients in the General Linear Model

aplpack — 1.3.5

Another Plot Package: 'Bagplots', 'Iconplots', 'Summaryplots', Slider Functions and Others

bbmle — 1.0.26

Tools for General Maximum Likelihood Estimation

qgam — 2.0.0

Smooth Additive Quantile Regression Models

tram — 1.4-5

Transformation Models

mongolite — 4.1.0

Fast and Simple 'MongoDB' Client for R

jmvcore — 2.7.38

Dependencies for the 'jamovi' Framework

corrr — 0.4.5

Correlations in R

multimode — 1.5

Mode Testing and Exploring

phylobase — 0.8.12

Base Package for Phylogenetic Structures and Comparative Data

chromote — 0.5.1

Headless Chrome Web Browser Interface

scoringRules — 1.1.3

Scoring Rules for Parametric and Simulated Distribution Forecasts

modeest — 2.4.0

Mode Estimation

ggarrow — 0.2.0

Arrows for 'ggplot2'

DHARMa — 0.5.0

Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models

triangle — 1.1.0

Distribution Functions and Parameter Estimates for the Triangle Distribution

adegraphics — 1.0-22

An S4 Lattice-Based Package for the Representation of Multivariate Data

class — 7.3-24

Functions for Classification

ICS — 1.4-2

Tools for Exploring Multivariate Data via ICS/ICA

IRdisplay — 1.1

'Jupyter' Display Machinery

modelbased — 0.17.0

Estimation of Model-Based Predictions, Contrasts and Means