Trending packages

fastmap — 1.0.1

Fast Implementation of a Key-Value Store

metacom — 1.5.2

Analysis of the 'Elements of Metacommunity Structure'

Exact — 2.0

Unconditional Exact Test

clues — 0.6.1

Clustering Method Based on Local

KernSmooth — 2.23-16

Functions for Kernel Smoothing Supporting Wand & Jones (1995)

cyclocomp — 1.1.0

Cyclomatic Complexity of R Code

arrow — 0.15.0

Integration to 'Apache' 'Arrow'

xmlparsedata — 1.0.3

Parse Data of 'R' Code as an 'XML' Tree

lifecycle — 0.1.0

Manage the Life Cycle of your Package Functions

stplanr — 0.4.0

Sustainable Transport Planning

parameters — 0.2.0

Processing of Model Parameters

conjoint — 1.41

An Implementation of Conjoint Analysis Method

rversions — 2.0.0

Query 'R' Versions, Including 'r-release' and 'r-oldrel'

phenopix — 2.3.1

Process Digital Images of a Vegetation Cover

qcc — 2.7

Quality Control Charts

gargle — 0.4.0

Utilities for Working with Google APIs

subselect — 0.14

Selecting Variable Subsets

AzureStor — 2.1.1

Storage Management in 'Azure'

systemfonts — 0.1.1

System Native Font Finding

graphlayouts — 0.5.0

Additional Layout Algorithms for Network Visualizations

fdth — 1.2-1

Frequency Distribution Tables, Histograms and Polygons

pinp — 0.0.9

'pinp' is not 'PNAS'

bcp — 4.0.3

Bayesian Analysis of Change Point Problems

BradleyTerry2 — 1.1-0

Bradley-Terry Models

brglm — 0.6.2

Bias Reduction in Binomial-Response Generalized Linear Models

AzureAuth — 1.2.2

Authentication Services for Azure Active Directory

qs — 0.19.1

Quick Serialization of R Objects

AzureRMR — 2.2.0

Interface to 'Azure Resource Manager'

pamr — 1.56.1

Pam: Prediction Analysis for Microarrays

DBItest — 1.5-2

Testing 'DBI' Back Ends

mda — 0.4-10

Mixture and Flexible Discriminant Analysis

RApiSerialize — 0.1.0

R API Serialization

latexpdf — 0.1.6

Convert Tables to PDF or PNG

mapedit — 0.5.0

Interactive Editing of Spatial Data in R

tidymodels — 0.0.3

Easily Install and Load the 'Tidymodels' Packages

MLmetrics — 1.1.1

Machine Learning Evaluation Metrics

Cubist — 0.2.2

Rule- And Instance-Based Regression Modeling

gam — 1.16.1

Generalized Additive Models

tsbox — 0.2.0

Class-Agnostic Time Series

strucchange — 1.5-2

Testing, Monitoring, and Dating Structural Changes

HDoutliers — 1.0

Leland Wilkinson's Algorithm for Detecting Multidimensional Outliers

earth — 5.1.1

Multivariate Adaptive Regression Splines

repurrrsive — 1.0.0

Examples of Recursive Lists and Nested or Split Data Frames

tidyposterior — 0.0.2

Bayesian Analysis to Compare Models using Resampling Statistics

tsoutliers — 0.6-8

Detection of Outliers in Time Series

jose — 1.0

JavaScript Object Signing and Encryption

coin — 1.3-1

Conditional Inference Procedures in a Permutation Test Framework

AlgDesign — 1.1-7.3

Algorithmic Experimental Design

leiden — 0.3.1

R Implementation of Leiden Clustering Algorithm

argparse — 2.0.1

Command Line Optional and Positional Argument Parser

influence.ME — 0.9-9

Tools for Detecting Influential Data in Mixed Effects Models

mlbench — 2.1-1

Machine Learning Benchmark Problems

fastICA — 1.2-2

FastICA Algorithms to Perform ICA and Projection Pursuit

RANN — 2.6.1

Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 Metric

plainview — 0.1.0

Plot Raster Images Interactively on a Plain HTML Canvas

ChannelAttribution — 1.16

Markov Model for the Online Multi-Channel Attribution Problem

covr — 3.3.2

Test Coverage for Packages

questionr — 0.7.0

Functions to Make Surveys Processing Easier

tidyquant — 0.5.8

Tidy Quantitative Financial Analysis

alr3 — 2.0.8

Data to Accompany Applied Linear Regression 3rd Edition

uwot — 0.1.4

The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction

tidygraph — 1.1.2

A Tidy API for Graph Manipulation

libcoin — 1.0-5

Linear Test Statistics for Permutation Inference

rex — 1.1.2

Friendly Regular Expressions

party — 1.3-3

A Laboratory for Recursive Partytioning

ggfortify — 0.4.7

Data Visualization Tools for Statistical Analysis Results

kernlab — 0.9-27

Kernel-Based Machine Learning Lab

klaR — 0.6-14

Classification and Visualization

proxy — 0.4-23

Distance and Similarity Measures

bigrquery — 1.2.0

An Interface to Google's 'BigQuery' 'API'

RgoogleMaps — 1.4.4

Overlays on Static Maps

grf — 0.10.4

Generalized Random Forests

ggmap — 3.0.0

Spatial Visualization with ggplot2

yardstick — 0.0.4

Tidy Characterizations of Model Performance

wooldridge — 1.3.1

111 Data Sets from "Introductory Econometrics: A Modern Approach, 6e" by Jeffrey M. Wooldridge

labelled — 2.2.1

Manipulating Labelled Data

openintro — 1.7.1

Data Sets and Supplemental Functions from 'OpenIntro' Textbooks

BiocManager — 1.30.8

Access the Bioconductor Project Package Repository

pROC — 1.15.3

Display and Analyze ROC Curves

pipeR — 0.6.1.3

Multi-Paradigm Pipeline Implementation

DiceKriging — 1.5.6

Kriging Methods for Computer Experiments

jpeg — 0.1-8

Read and write JPEG images

leafsync — 0.1.0

Small Multiples for Leaflet Web Maps

DEoptimR — 1.0-8

Differential Evolution Optimization in Pure R

compare — 0.2-6

Comparing Objects for Differences

promises — 1.1.0

Abstractions for Promise-Based Asynchronous Programming

babynames — 1.0.0

US Baby Names 1880-2017

writexl — 1.1

Export Data Frames to Excel 'xlsx' Format

varhandle — 2.0.3

Functions for Robust Variable Handling

ROCR — 1.0-7

Visualizing the Performance of Scoring Classifiers

matrixStats — 0.55.0

Functions that Apply to Rows and Columns of Matrices (and to Vectors)

numbers — 0.7-1

Number-Theoretic Functions

vars — 1.5-3

VAR Modelling

RcppAnnoy — 0.0.13

'Rcpp' Bindings for 'Annoy', a Library for Approximate Nearest Neighbors

RNetCDF — 2.1-1

Interface to 'NetCDF' Datasets

cairoDevice — 2.28

Embeddable Cairo Graphics Device Driver

hash — 2.2.6

Full feature implementation of hash/associated arrays/dictionaries

sitmo — 2.0.1

Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files

heplots — 1.3-5

Visualizing Hypothesis Tests in Multivariate Linear Models

alr4 — 1.0.6

Data to Accompany Applied Linear Regression 4th Edition