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

isotone — 1.1-2

Active Set and Generalized PAVA for Isotone Optimization

R.matlab — 3.8.0

Read and Write MAT Files and Call MATLAB from Within R

seasonalytics — 0.1.0

Compute Seasonality Index, Seasonalized and Deseaonalised the Time Series Data

makedummies — 1.2.1

Create Dummy Variables from Categorical 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'

origami — 1.0.8

Generalized Framework for Cross-Validation

nflfastR — 5.2.0

Functions to Efficiently Access NFL Play by Play Data

ggdist — 3.3.3

Visualizations of Distributions and Uncertainty

PDIndex — 0.1.0

Disease Intensity and Progress Curve Indices for Plant Pathology

mcanalysis — 0.1.0

Markov Chain Analysis for Structural Behaviour and Stability

ncdf4 — 1.24

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

SuperLearner — 2.0-41

Super Learner Prediction

cvAUC — 1.1.4

Cross-Validated Area Under the ROC Curve Confidence Intervals

DFBA — 0.1.0

Distribution-Free Bayesian Analysis

hoopR — 3.1.0

Access Men's Basketball Play by Play Data

signal — 1.8-1

Signal Processing

cowsay — 1.2.2

Messages, Warnings, Strings with Ascii Animals

deSolve — 1.42

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

hrbrthemes — 0.9.3

Additional Themes, Theme Components and Utilities for 'ggplot2'

cherryblossom — 0.1.0

Cherry Blossom Run Race Results

ggbiplot — 0.6.5

A Grammar of Graphics Implementation of Biplots

usdata — 0.3.1

Data on the States and Counties of the United States

NADA — 1.6-1.2

Nondetects and Data Analysis for Environmental Data

coloc — 5.2.3

Colocalisation Tests of Two Genetic Traits

baseballr — 2.0.0

Acquiring and Analyzing Baseball Data

littler — 0.3.23

R at the Command-Line via 'r'

openintro — 2.5.1

Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

pinfsc50 — 1.3.0

Sequence ('FASTA'), Annotation ('GFF') and Variants ('VCF') for 17 Samples of 'P. Infestans" and 1 'P. Mirabilis'

fdth — 1.5-0

Frequency Distribution Tables, Histograms and Polygons

susieR — 0.14.2

Sum of Single Effects Linear Regression

NetSimR — 0.1.6

Actuarial Functions for Non-Life Insurance Modelling

listviewer — 4.0.0

'htmlwidget' for Interactive Views of R Lists

nnls — 1.6

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

jmv — 2.8.0

The 'jamovi' Analyses

discovr — 1.0.0

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

swirl — 2.4.5

Learn R, in R

airports — 0.1.0

Data on Airports

pracma — 2.4.6

Practical Numerical Math Functions

spatial — 7.3-19

Functions for Kriging and Point Pattern Analysis

nnet — 7.3-21

Feed-Forward Neural Networks and Multinomial Log-Linear Models

RMariaDB — 1.3.5

Database Interface and MariaDB Driver

mosaicData — 0.20.4

Project MOSAIC Data Sets

micsr — 0.1-5

Microeconometrics with R

quadprog — 1.5-8

Functions to Solve Quadratic Programming Problems

scrime — 1.3.7

Analysis of High-Dimensional Categorical Data Such as SNP Data

leiden — 0.4.3.1

R Implementation of Leiden Clustering Algorithm

KernSmooth — 2.23-27

Functions for Kernel Smoothing Supporting Wand & Jones (1995)

imputeTestbench — 3.0.3

Test Bench for the Comparison of Imputation Methods

scrutiny — 0.6.1

Error Detection in Science

torch — 0.17.0

Tensors and Neural Networks with 'GPU' Acceleration

cffr — 1.4.2

Generate Citation File Format ('CFF') Metadata

smooth — 4.5.2

Forecasting Using State Space Models

opdisDownsampling — 1.7

Optimal Distribution Preserving Down-Sampling of Bio-Medical Data

colorRamps — 2.3.4

Builds Color Tables

base64 — 2.0.2

Base64 Encoder and Decoder

moocore — 0.3.2

Core Mathematical Functions for Multi-Objective Optimization

shinymanager — 1.1.0

Authentication Management for 'Shiny' Applications

vcfR — 1.16.0

Manipulate and Visualize VCF Data

SkewHyperbolic — 0.4-2

The Skew Hyperbolic Student t-Distribution

ggpointdensity — 0.2.1

A Cross Between a 2D Density Plot and a Scatter Plot

phia — 0.3-2

Post-Hoc Interaction Analysis

class — 7.3-24

Functions for Classification

GeneralizedHyperbolic — 0.8-7

The Generalized Hyperbolic Distribution

drc — 3.0-1

Analysis of Dose-Response Curves

shinytest2 — 0.5.1

Testing for Shiny Applications

mosaicCore — 0.9.5

Common Utilities for Other MOSAIC-Family Packages

phyclust — 0.1-34

Phylogenetic Clustering (Phyloclustering)

HDInterval — 0.2.4

Highest (Posterior) Density Intervals

bspm — 0.5.8

Bridge to System Package Manager

Matrix — 1.7-6

Sparse and Dense Matrix Classes and Methods

bbmle — 1.0.26

Tools for General Maximum Likelihood Estimation

mongolite — 4.1.0

Fast and Simple 'MongoDB' Client for R

scTenifoldNet — 1.4

Construct and Compare scGRN from Single-Cell Transcriptomic Data

scam — 1.2-22

Shape Constrained Additive Models

mosaic — 1.10.2

Project MOSAIC Statistics and Mathematics Teaching Utilities

ParallelLogger — 3.5.1

Support for Parallel Computation, Logging, and Function Automation

datarium — 0.2.0

Data Bank for Statistical Analysis and Visualization

modelbased — 0.17.0

Estimation of Model-Based Predictions, Contrasts and Means

rentrez — 1.2.4

'Entrez' in R

ggalluvial — 0.12.6

Alluvial Plots in 'ggplot2'

ICSOutlier — 0.4-1

Outlier Detection Using Invariant Coordinate Selection

HistData — 1.1.0

Data Sets from the History of Statistics and Data Visualization

ggstats — 0.14.0

Extension to 'ggplot2' for Plotting Stats

iterpc — 0.4.2

Efficient Iterator for Permutations and Combinations

see — 0.14.2

Model Visualisation Toolbox for 'easystats' and 'ggplot2'

skellam — 0.2.4

Densities and Sampling for the Skellam Distribution

beanplot — 1.3.1

Visualization via Beanplots (Like Boxplot/Stripchart/Violin Plot)

gap.datasets — 0.0.6

Datasets for 'gap'

gam — 1.22-7

Generalized Additive Models

multimode — 1.5

Mode Testing and Exploring

dslabs — 0.9.1

Data Science Labs

qgam — 2.0.0

Smooth Additive Quantile Regression Models

scrypt — 0.1.6

Key Derivation Functions for R Based on Scrypt

bigutilsr — 0.3.11

Utility Functions for Large-scale Data

IRdisplay — 1.1

'Jupyter' Display Machinery