Trending packages

RegSDC — 1.0.0

Information Preserving Regression-Based Tools for Statistical Disclosure Control

GaussSuppression — 1.3.0

Tabular Data Suppression using Gaussian Elimination

SSBtools — 1.8.8

Algorithms and Tools for Tabular Statistics and Hierarchical Computations

mixtime — 0.3.0

Mixed Temporal Vectors and Operations

vecvec — 1.3.0

Construct Mixed Type Data Structures with Vectors of Vectors

BGLR — 1.1.4

Bayesian Generalized Linear Regression

RQuantLib — 0.4.28

R Interface to the 'QuantLib' Library

hdm — 0.3.2

High-Dimensional Metrics

R.matlab — 3.8.0

Read and Write MAT Files and Call MATLAB from Within R

rdtools — 0.1.0

Efficient Manipulation of 'Rd' Files and Help Topics

archdata — 1.2-1

Example Datasets from Archaeological Research

tensorflow — 2.20.0

R Interface to 'TensorFlow'

ggdist — 3.3.3

Visualizations of Distributions and Uncertainty

omopgenerics — 1.4.2

Methods and Classes for the OMOP Common Data Model

DFBA — 0.1.0

Distribution-Free Bayesian Analysis

isotone — 1.1-2

Active Set and Generalized PAVA for Isotone Optimization

ncdf4 — 1.24

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

papaja — 0.1.5

Prepare American Psychological Association Journal Articles with R Markdown

Stat2Data — 2.0.0

Datasets for Stat2

princurve — 2.1.6

Fit a Principal Curve in Arbitrary Dimension

signal — 1.8-1

Signal Processing

smooth — 4.5.2

Forecasting Using State Space Models

fivethirtyeight — 0.6.2

Data and Code Behind the Stories and Interactives at 'FiveThirtyEight'

SuperLearner — 2.0-42

Super Learner Prediction

rmdfiltr — 0.1.5

'Lua'-Filters for R Markdown

ctmm — 1.3.0

Continuous-Time Movement Modeling

mosaicData — 0.20.4

Project MOSAIC Data Sets

QuantPsyc — 1.6

Quantitative Psychology Tools

vtable — 1.4.8

Variable Table for Variable Documentation

deSolve — 1.42

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

cherryblossom — 0.1.0

Cherry Blossom Run Race Results

cvAUC — 1.1.4

Cross-Validated Area Under the ROC Curve Confidence Intervals

mosaic — 1.10.2

Project MOSAIC Statistics and Mathematics Teaching Utilities

scoringRules — 1.1.3

Scoring Rules for Parametric and Simulated Distribution Forecasts

rayrender — 0.42.0

Build and Raytrace 3D Scenes

usdata — 0.3.1

Data on the States and Counties of the United States

settings — 0.2.7

Software Option Settings Manager for R

openintro — 2.5.1

Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

DoubleML — 1.0.2

Double Machine Learning in R

Matrix — 1.7-6

Sparse and Dense Matrix Classes and Methods

rayimage — 0.27.1

Image Processing for Simulated Cameras

origami — 1.0.8

Generalized Framework for Cross-Validation

dslabs — 0.9.1

Data Science Labs

airports — 0.1.0

Data on Airports

scTenifoldKnk — 1.1

In-Silico Knockout Experiments from Single-Cell Gene Regulatory Networks

mosaicCore — 0.9.5

Common Utilities for Other MOSAIC-Family Packages

DEoptim — 2.2-8

Global Optimization by Differential Evolution

swirl — 2.4.5

Learn R, in R

enrichit — 0.2.4

'C++' Implementations of Functional Enrichment Analysis

scTenifoldNet — 1.4

Construct and Compare scGRN from Single-Cell Transcriptomic Data

torch — 0.17.0

Tensors and Neural Networks with 'GPU' Acceleration

arg — 0.2.1

Clean and Simple Argument Checking

TraMineR — 2.2-14

Trajectory Miner: a Sequence Analysis Toolkit

clinfun — 1.1.6

Clinical Trial Design and Data Analysis Functions

cyclocomp — 1.1.2

Cyclomatic Complexity of R Code

quadprog — 1.5-8

Functions to Solve Quadratic Programming Problems

ggformula — 2.0.0

Formula Interface to the Grammar of Graphics

codetools — 0.2-20

Code Analysis Tools for R

jmv — 2.8.0

The 'jamovi' Analyses

greybox — 2.0.8

Toolbox for Model Building and Forecasting

manipulate — 1.0.1

Interactive Plots for RStudio

str2str — 1.0.0

Convert R Objects from One Structure to Another

mlr3torch — 0.3.3

Deep Learning with 'mlr3'

NHANES — 2.1.4

Data from the US National Health and Nutrition Examination Study

Boom — 0.9.17

Bayesian Object Oriented Modeling

pracma — 2.4.6

Practical Numerical Math Functions

crs — 0.15-46

Categorical Regression Splines

misty — 0.8.3

Miscellaneous Functions 'T. Yanagida'

KernSmooth — 2.23-27

Functions for Kernel Smoothing Supporting Wand & Jones (1995)

coneproj — 1.23

Primal or Dual Cone Projections with Routines for Constrained Regression

ChainLadder — 0.2.21

Statistical Methods and Models for Claims Reserving in General Insurance

mlr3verse — 0.4.0

Easily Install and Load the 'mlr3' Package Family

pastecs — 1.4.2

Package for Analysis of Space-Time Ecological Series

lattice — 0.23-1

Trellis Graphics for R

leaflet.extras — 2.1.0

Extra Functionality for 'leaflet' Package

nnet — 7.3-21

Feed-Forward Neural Networks and Multinomial Log-Linear Models

scrutiny — 0.6.1

Error Detection in Science

datamods — 1.5.3

Modules to Import and Manipulate Data in 'Shiny'

grf — 2.6.1

Generalized Random Forests

dplR — 1.7.9

Dendrochronology Program Library in R

TreeTools — 2.4.1

Create, Modify and Analyse Phylogenetic Trees

box — 1.2.3

Write Reusable, Composable and Modular R Code

aplpack — 1.3.5

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

class — 7.3-24

Functions for Classification

Rcmdr — 2.14.1

R Commander

modeest — 2.5.0

Mode Estimation

tram — 1.4-5

Transformation Models

inlabru — 2.15.0

Bayesian Latent Gaussian Modelling using INLA and Extensions

tcltk2 — 1.6.1

Tcl/Tk Additions

micsr — 0.1-5

Microeconometrics with R

ggtime — 1.0.0

Grammar of Graphics and Plot Helpers for Time Series Visualization

nnls — 1.6

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

mongolite — 4.1.0

Fast and Simple 'MongoDB' Client for R

formatters — 0.5.13

ASCII Formatting for Values and Tables

phosphoricons — 0.2.1

'Phosphor' Icons for R

rentrez — 1.2.4

'Entrez' in R

toastui — 0.4.0

Interactive Tables, Calendars and Charts for the Web

hdf5r — 1.3.16

Interface to the 'HDF5' Binary Data Format

ISLR2 — 1.3-2

Introduction to Statistical Learning, Second Edition

magick — 2.9.1

Advanced Graphics and Image-Processing in R