Trending packages

wikiTools — 1.2.14

Tools for Wikidata and Wikipedia

netCoin — 2.1.9

Interactive Analytic Networks

mverse — 0.2.2

Tidy Multiverse Analysis Made Simple

survivalPLANN — 0.4

Neural Networks to Predict Survival

WaverideR — 0.4.1

Extracting Signals from Wavelet Spectra

multiverse — 0.6.2

Create 'multiverse analysis' in R

soptdmaeA — 1.0.1

Sequential Optimal Designs for Two-Colour cDNA Microarray Experiments

optrcdmaeAT — 1.0.1

Optimal Row-Column Designs for Two-Colour cDNA Microarray Experiments

optbdmaeAT — 1.0.2

Optimal Block Designs for Two-Colour cDNA Microarray Experiments

omock — 0.4.0

Creation of Mock Observational Medical Outcomes Partnership Common Data Model

FAfA — 0.3

Factor Analysis for All

caviarpd — 0.3.20

Cluster Analysis via Random Partition Distributions

semsfa — 1.2

Semiparametric Estimation of Stochastic Frontier Models

accept — 1.0.2

The Acute COPD Exacerbation Prediction Tool (ACCEPT)

rNeighborGWAS — 1.2.5

Testing Neighbor Effects in Marker-Based Regressions

wrappedtools — 0.9.8

Useful Wrappers Around Commonly Used Functions

positron.tutorials — 0.2.0

Tutorials for Learning 'Positron' and Related Tools

RAINBOWR — 0.1.38

Genome-Wide Association Study with SNP-Set Methods

AgroReg — 1.2.11

Regression Analysis Linear and Nonlinear for Agriculture

ConsRankClass — 1.0.2

Classification and Clustering of Preference Rankings

daltoolboxdp — 1.2.727

Python-Based Extensions for Data Analytics Workflows

RISCA — 1.0.7

Causal Inference and Prediction in Cohort-Based Analyses

tspredit — 1.2.727

Time Series Prediction with Integrated Tuning

seqHMM — 2.0.0

Mixture Hidden Markov Models for Social Sequence Data and Other Multivariate, Multichannel Categorical Time Series

ShinyItemAnalysis — 1.5.5

Test and Item Analysis via Shiny

Rdsdp — 1.0.6

R Interface to DSDP Semidefinite Programming Library

pdfsearch — 0.4.3

Search Tools for PDF Files

ggseqplot — 0.8.7

Render Sequence Plots using 'ggplot2'

tutorial.helpers — 0.5.0

Helper Functions for Creating Tutorials

snowflakeauth — 0.1.2

Authentication Helpers for 'Snowflake'

RcppPlanc — 2.0.13

Parallel Low-Rank Approximation with Nonnegativity Constraints

SUMO — 1.2.0

Generating Multi-Omics Datasets for Testing and Benchmarking

parTimeROC — 0.2.0

Parametric Time-Dependent Receiver Operating Characteristic

vetiver — 0.2.5

Version, Share, Deploy, and Monitor Models

fangs — 0.2.21

Feature Allocation Neighborhood Greedy Search Algorithm

TSdist — 3.7.1

Distance Measures for Time Series Data

gemtc — 1.1-0

Network Meta-Analysis Using Bayesian Methods

metasens — 1.5-3

Statistical Methods for Sensitivity Analysis in Meta-Analysis

difR — 6.0.0

Collection of Methods to Detect Dichotomous and Polytomous Differential Item Functioning (DIF)

arcgisplaces — 0.1.2

Search for POIs using ArcGIS 'Places Service'

ENMTools — 1.1.4

Analysis of Niche Evolution using Niche and Distribution Models

plinkFile — 0.2.1

'PLINK' (and 'GCTA') File Helpers

WayFindR — 0.3.1

Computing Graph Structures on WikiPathways

salso — 0.3.53

Search Algorithms and Loss Functions for Bayesian Clustering

rshift — 3.1.2

Paleoecology Functions for Regime Shift Analysis

fio — 0.1.6

Friendly Input-Output Analysis

pdc — 1.0.3

Permutation Distribution Clustering

GMMAT — 1.4.2

Generalized Linear Mixed Model Association Tests

b64 — 0.1.7

Fast and Vectorized Base 64 Engine

TSclust — 1.3.2

Time Series Clustering Utilities

deeplr — 2.1.0

Interface to the 'DeepL' Translation API

gaston — 1.6

Genetic Data Handling (QC, GRM, LD, PCA) & Linear Mixed Models

smacof — 2.1-7

Multidimensional Scaling

measurementProtocol — 0.1.1

Send Data from R to the Measurement Protocol

string2path — 0.2.2

Rendering Font into 'data.frame'

S7 — 0.2.0

An Object Oriented System Meant to Become a Successor to S3 and S4

googleAnalyticsR — 1.2.0

Google Analytics API into R

LorMe — 1.2.1

Lightening One-Code Resolving Microbial Ecology Solution

relaimpo — 2.2-7

Relative Importance of Regressors in Linear Models

weights — 1.1.2

Weighting and Weighted Statistics

ibawds — 1.1.0

Functions and Datasets for the Data Science Course at IBAW

tabxplor — 1.3.0

User-Friendly Tables with Color Helpers for Data Exploration

metatools — 0.2.0

Enable the Use of 'metacore' to Help Create and Check Dataset

admiraldev — 1.3.1

Utility Functions and Development Tools for the Admiral Package Family

FuzzyImputationTest — 0.5.1

Imputation Procedures and Quality Tests for Fuzzy Data

locpol — 0.8.0

Kernel Local Polynomial Regression

MVN — 6.1

Multivariate Normality Tests

metacore — 0.2.0

A Centralized Metadata Object Focus on Clinical Trial Data Programming Workflows

ConnectednessApproach — 1.0.4

Connectedness Approach

fpCompare — 0.2.4

Reliable Comparison of Floating Point Numbers

admiral — 1.3.0

ADaM in R Asset Library

drc — 3.0-1

Analysis of Dose-Response Curves

watcher — 0.1.4

Watch the File System for Changes

str2str — 1.0.0

Convert R Objects from One Structure to Another

googleAuthR — 2.0.2

Authenticate and Create Google APIs

nanonext — 1.6.2

NNG (Nanomsg Next Gen) Lightweight Messaging Library

mirai — 2.4.1

Minimalist Async Evaluation Framework for R

ggformula — 0.12.0

Formula Interface to the Grammar of Graphics

getopt — 1.20.4

C-Like 'getopt' Behavior

tidyfst — 1.8.2

Tidy Verbs for Fast Data Manipulation

gamlss — 5.4-22

Generalized Additive Models for Location Scale and Shape

vvauditor — 0.7.0

Creates Assertion Tests

NMAoutlier — 0.2.0

Detecting Outliers in Network Meta-Analysis

FlexParamCurve — 1.5-6

Tools to Fit Flexible Parametric Curves

invgamma — 1.2

The Inverse Gamma Distribution

maptiles — 0.10.0

Download and Display Map Tiles

dfidx — 0.2-0

Indexed Data Frames

shadowtext — 0.1.5

Shadow Text Grob and Layer

ssifs — 1.0.5

Stochastic Search Inconsistency Factor Selection

mosaic — 1.9.1

Project MOSAIC Statistics and Mathematics Teaching Utilities

slippymath — 0.3.1

Slippy Map Tile Tools

mlogit — 1.1-3

Multinomial Logit Models

lamW — 2.2.5

Lambert-W Function

ggtangle — 0.0.7

Draw Network with Data

CompQuadForm — 1.4.4

Distribution Function of Quadratic Forms in Normal Variables

future.callr — 0.10.1

A Future API for Parallel Processing using 'callr'

restfulr — 0.0.16

R Interface to RESTful Web Services

KFAS — 1.6.0

Kalman Filter and Smoother for Exponential Family State Space Models

zCompositions — 1.5.0-5

Treatment of Zeros, Left-Censored and Missing Values in Compositional Data Sets

CDM — 8.3-14

Cognitive Diagnosis Modeling