Trending packages

gsisdecoder — 0.0.1

High Efficient Functions to Decode NFL Player IDs

presto — 1.1.0

Fast Functions for Differential Expression Using Wilcoxon and AUC

lefko3 — 6.7.3

Historical and Ahistorical Population Projection Matrix Analysis

RTMB — 2.0

'R' Bindings for 'TMB'

RcppThread — 2.4.0

R-Friendly Threading in C++

vecvec — 1.4.0

Construct Mixed Type Data Structures with Vectors of Vectors

ggrastr — 1.0.2

Rasterize Layers for 'ggplot2'

mixtime — 0.4.0

Mixed Temporal Vectors and Operations

agridat — 1.26

Agricultural Datasets

R.matlab — 3.8.1

Read and Write MAT Files and Call MATLAB from Within R

foreign — 0.8-92

Read Data Stored by 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka', 'dBase', ...

lucid — 1.12

Printing Floating Point Numbers in a Human-Friendly Format

DAAG — 1.25.7

Data Analysis and Graphics Data and Functions

tscount — 1.4.3

Analysis of Count Time Series

leiden — 0.4.3.1

R Implementation of Leiden Clustering Algorithm

tensorflow — 2.20.0

R Interface to 'TensorFlow'

ncdf4 — 1.24

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

terra — 1.9-50

Spatial Data Analysis

MTS — 1.2.1

All-Purpose Toolkit for Analyzing Multivariate Time Series (MTS) and Estimating Multivariate Volatility Models

ltsa — 1.4.6.1

Linear Time Series Analysis

fivethirtyeight — 0.6.2

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

lidR — 4.3.3

Airborne Point Cloud Data Manipulation and Visualization for Forestry Applications

TeachingDemos — 2.13

Demonstrations for Teaching and Learning

rdtools — 0.1.0

Efficient Manipulation of 'Rd' Files and Help Topics

ggdist — 3.3.3

Visualizations of Distributions and Uncertainty

signal — 1.8-1

Signal Processing

ggbiplot — 0.6.5

A Grammar of Graphics Implementation of Biplots

RecordLinkage — 0.4-12.6

Record Linkage Functions for Linking and Deduplicating Data Sets

splusTimeDate — 2.5.10

Times and Dates from 'S-PLUS'

deSolve — 1.42

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

ssh — 0.9.4

Secure Shell (SSH) Client for R

olsrr — 0.7.0

Tools for Building OLS Regression Models

ggstatsplot — 1.1.4

'ggplot2' Based Plots with Statistical Details

openintro — 2.5.1

Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

SoupX — 1.6.2

Single Cell mRNA Soup eXterminator

jmv — 2.8.0

The 'jamovi' Analyses

greybox — 2.0.11

Toolbox for Model Building and Forecasting

qualtRics — 3.3.0

Download 'Qualtrics' Survey Data

WDI — 2.8.0

World Development Indicators and Other World Bank Data

statsExpressions — 2.2.1

Tidy Dataframes and Expressions with Statistical Details

SkewHyperbolic — 0.4-2

The Skew Hyperbolic Student t-Distribution

adegenet — 2.1.11

Exploratory Analysis of Genetic and Genomic Data

DFBA — 0.1.0

Distribution-Free Bayesian Analysis

QuantPsyc — 1.6

Quantitative Psychology Tools

fpp2 — 2.5.1

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

lsoda — 1.2

'C++' Header Library for Ordinary Differential Equations

flexsurv — 2.3.2

Flexible Parametric Survival and Multi-State Models

GeneralizedHyperbolic — 0.8-7

The Generalized Hyperbolic Distribution

esc — 0.5.1

Effect Size Computation for Meta Analysis

rstpm2 — 1.7.1

Smooth Survival Models, Including Generalized Survival Models

ggtime — 1.1.0

Grammar of Graphics and Plot Helpers for Time Series Visualization

mongolite — 4.1.0

Fast and Simple 'MongoDB' Client for R

tsibbledata — 0.4.1

Diverse Datasets for 'tsibble'

mstate — 0.3.3

Data Preparation, Estimation and Prediction in Multi-State Models

emayili — 0.9.3

Send Email Messages

wooldridge — 1.4-7

115 Data Sets from "Introductory Econometrics: A Modern Approach, 8e" by Jeffrey M. Wooldridge

formatters — 0.5.13

ASCII Formatting for Values and Tables

ggarrow — 0.2.0

Arrows for 'ggplot2'

ISLR2 — 1.3-2

Introduction to Statistical Learning, Second Edition

xplorerr — 0.2.0

Tools for Interactive Data Exploration

littler — 0.3.23

R at the Command-Line via 'r'

lme4 — 2.1-0

Linear Mixed-Effects Models using 'Eigen' and S4

mmrm — 0.3.19

Mixed Models for Repeated Measures

quadprog — 1.5-8

Functions to Solve Quadratic Programming Problems

tram — 1.4-7

Transformation Models

emdbook — 1.3.14

Support Functions and Data for "Ecological Models and Data"

pastecs — 1.4.2

Package for Analysis of Space-Time Ecological Series

NADA — 1.6-1.2

Nondetects and Data Analysis for Environmental Data

pracma — 2.4.6

Practical Numerical Math Functions

scTenifoldNet — 1.4.3

Construct and Compare scGRN from Single-Cell Transcriptomic Data

NHANES — 2.1.4

Data from the US National Health and Nutrition Examination Study

scam — 1.2-23

Shape Constrained Additive Models

cherryblossom — 0.1.0

Cherry Blossom Run Race Results

isotone — 1.1-2

Active Set and Generalized PAVA for Isotone Optimization

report — 0.6.4

Automated Reporting of Results and Statistical Models

rsvd — 1.0.6

Randomized Singular Value Decomposition

feasts — 0.5.0

Feature Extraction and Statistics for Time Series

tigris — 2.3.0

Load Census TIGER/Line Shapefiles

usdata — 0.3.1

Data on the States and Counties of the United States

biotools — 4.3

Tools for Biometry and Applied Statistics in Agricultural Science

ECOSolveR — 0.6.2

Embedded Conic Solver in R

ROI.plugin.lpsolve — 1.0-2

'lp_solve' Plugin for the 'R' Optimization Infrastructure

HonestDiD — 0.2.8

Robust Inference in Difference-in-Differences and Event Study Designs

energy — 1.7-12

E-Statistics: Multivariate Inference via the Energy of Data

tinyplot — 0.8.0

Lightweight Extension of the Base R Graphics System

torch — 0.17.0

Tensors and Neural Networks with 'GPU' Acceleration

TSA — 1.3.1

Time Series Analysis

bbmle — 1.0.26

Tools for General Maximum Likelihood Estimation

pwr — 1.3-0

Basic Functions for Power Analysis

partykit — 1.3-1

A Toolkit for Recursive Partytioning

tidycensus — 2.0.0

Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames

arg — 0.2.1

Clean and Simple Argument Checking

muhaz — 1.2.6.5

Hazard Function Estimation in Survival Analysis

detectseparation — 0.4.0

Detect and Check for Separation and Infinite Maximum Likelihood Estimates

FinTS — 0.4-9

Companion to Tsay (2005) Analysis of Financial Time Series

dslabs — 0.9.1

Data Science Labs

Matrix — 1.7-6

Sparse and Dense Matrix Classes and Methods

ChainLadder — 0.2.21

Statistical Methods and Models for Claims Reserving in General Insurance

cffr — 1.4.2

Generate Citation File Format ('CFF') Metadata

binom — 1.1-2

Binomial Confidence Intervals for Several Parameterizations