Trending packages

pim — 2.0.4

Fit Probabilistic Index Models

mixtime — 0.3.0

Mixed Temporal Vectors and Operations

vecvec — 1.3.0

Construct Mixed Type Data Structures with Vectors of Vectors

mvnmle — 0.1-11.2

ML Estimation for Multivariate Normal Data with Missing Values

sloop — 1.0.1

Helpers for 'OOP' in R

ic.infer — 1.1-8

Inequality Constrained Inference in Linear Normal Situations

kappalab — 0.4-12

Non-Additive Measure and Integral Manipulation Functions

BGLR — 1.1.4

Bayesian Generalized Linear Regression

R.matlab — 3.8.0

Read and Write MAT Files and Call MATLAB from Within R

hyperSpec — 0.100.3

Work with Hyperspectral Data, i.e. Spectra + Meta Information (Spatial, Time, Concentration, ...)

baseline — 1.3-8

Baseline Correction of Spectra

consort — 1.2.3

Create Consort Diagram

rdtools — 0.1.0

Efficient Manipulation of 'Rd' Files and Help Topics

tensorflow — 2.20.0

R Interface to 'TensorFlow'

libopenexr — 3.4.12-6

Static Library and Headers for 'OpenEXR' Image I/O

archdata — 1.2-1

Example Datasets from Archaeological Research

Stat2Data — 2.0.0

Datasets for Stat2

ggdist — 3.3.3

Visualizations of Distributions and Uncertainty

DFBA — 0.1.0

Distribution-Free Bayesian Analysis

ncdf4 — 1.24

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

crosstable — 0.9.0

Crosstables for Descriptive Analyses

isotone — 1.1-2

Active Set and Generalized PAVA for Isotone Optimization

papaja — 0.1.5

Prepare American Psychological Association Journal Articles with R Markdown

signal — 1.8-1

Signal Processing

misty — 0.8.3

Miscellaneous Functions 'T. Yanagida'

fivethirtyeight — 0.6.2

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

princurve — 2.1.6

Fit a Principal Curve in Arbitrary Dimension

magick — 2.9.1

Advanced Graphics and Image-Processing in R

mosaicData — 0.20.4

Project MOSAIC Data Sets

coneproj — 1.23

Primal or Dual Cone Projections with Routines for Constrained Regression

rayimage — 0.27.1

Image Processing for Simulated Cameras

rmdfiltr — 0.1.5

'Lua'-Filters for R Markdown

airports — 0.1.0

Data on Airports

deSolve — 1.42

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

cherryblossom — 0.1.0

Cherry Blossom Run Race Results

QuantPsyc — 1.6

Quantitative Psychology Tools

DoE.wrapper — 0.13

Wrapper Package for Design of Experiments Functionality

tram — 1.4-5

Transformation Models

ade4TkGUI — 0.3.4

'ade4' Tcl/Tk Graphical User Interface

cowsay — 1.2.2

Messages, Warnings, Strings with Ascii Animals

mdmb — 1.9-22

Model Based Treatment of Missing Data

NHANES — 2.1.4

Data from the US National Health and Nutrition Examination Study

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

mosaic — 1.10.2

Project MOSAIC Statistics and Mathematics Teaching Utilities

synthpop — 1.9-3

Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control

mosaicCore — 0.9.5

Common Utilities for Other MOSAIC-Family Packages

SuperLearner — 2.0-42

Super Learner Prediction

dslabs — 0.9.1

Data Science Labs

smooth — 4.5.2

Forecasting Using State Space Models

survPresmooth — 1.1-12

Presmoothed Estimation in Survival Analysis

BIFIEsurvey — 3.8.0

Tools for Survey Statistics in Educational Assessment

dplR — 1.7.9

Dendrochronology Program Library in R

mratios — 1.4.4

Ratios of Coefficients in the General Linear Model

ggformula — 2.0.0

Formula Interface to the Grammar of Graphics

pbv — 0.5-47

Probabilities for Bivariate Normal Distribution

scrutiny — 0.6.1

Error Detection in Science

asd — 2.2

Simulations for Adaptive Seamless Designs

scoringRules — 1.1.3

Scoring Rules for Parametric and Simulated Distribution Forecasts

sirt — 4.2-133

Supplementary Item Response Theory Models

swirl — 2.4.5

Learn R, in R

cyclocomp — 1.1.2

Cyclomatic Complexity of R Code

variables — 1.1-2

Variable Descriptions

basefun — 1.2-6

Infrastructure for Computing with Basis Functions

cvAUC — 1.1.4

Cross-Validated Area Under the ROC Curve Confidence Intervals

DoseFinding — 1.4-1

Planning and Analyzing Dose Finding Experiments

origami — 1.0.8

Generalized Framework for Cross-Validation

rlecuyer — 0.3-8

R Interface to RNG with Multiple Streams

manipulate — 1.0.1

Interactive Plots for RStudio

jmv — 2.8.0

The 'jamovi' Analyses

pracma — 2.4.6

Practical Numerical Math Functions

scTenifoldNet — 1.4

Construct and Compare scGRN from Single-Cell Transcriptomic Data

phylobase — 0.8.12

Base Package for Phylogenetic Structures and Comparative Data

SimComp — 3.6

Simultaneous Comparisons for Multiple Endpoints

Matrix — 1.7-6

Sparse and Dense Matrix Classes and Methods

quadprog — 1.5-8

Functions to Solve Quadratic Programming Problems

adegraphics — 1.0-22

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

torch — 0.17.0

Tensors and Neural Networks with 'GPU' Acceleration

KMsurv — 0.1-6

Datasets from Klein and Moeschberger (1997), Survival Analysis

ISwR — 2.0-12

Introductory Statistics with R

enrichit — 0.2.4

'C++' Implementations of Functional Enrichment Analysis

hdf5r — 1.3.16

Interface to the 'HDF5' Binary Data Format

cmm — 1.0

Categorical Marginal Models

gsDesign — 3.11.0

Group Sequential Design

CircStats — 0.2-7

Circular Statistics, from "Topics in Circular Statistics" (2001)

mipfp — 3.2.3

Multidimensional Iterative Proportional Fitting and Alternative Models

nflreadr — 1.5.1

Download 'nflverse' Data

rentrez — 1.2.4

'Entrez' in R

CDM — 8.3-14

Cognitive Diagnosis Modeling

mlt — 1.8-2

Most Likely Transformations

MLEcens — 0.1-7.1

Computation of the MLE for Bivariate Interval Censored Data

leaflet.extras — 2.1.0

Extra Functionality for 'leaflet' Package

inlabru — 2.15.0

Bayesian Latent Gaussian Modelling using INLA and Extensions

pastecs — 1.4.2

Package for Analysis of Space-Time Ecological Series

datamods — 1.5.3

Modules to Import and Manipulate Data in 'Shiny'

rmutil — 1.1.10

Utilities for Nonlinear Regression and Repeated Measurements Models

RNeXML — 2.4.11

Semantically Rich I/O for the 'NeXML' Format

broman — 0.98

Karl Broman's R Code

intergraph — 2.0-4

Coercion Routines for Network Data Objects

TAM — 4.3-25

Test Analysis Modules