Trending packages

bfsMaps — 1.99.4

Plot Maps from Switzerland by Swiss Federal Statistical Office

fidelius — 0.0.2

Browser-Side Password-Protected HTML Documents

AgePopDenom — 1.2.3

Model Fine-Scale Age-Structured Population Data using Open-Source Data

redoc — 2.0.0.75

Generates 'Redoc' Documentation from an 'OpenAPI' Specification

trelliscopejs — 0.2.11

Create Interactive Trelliscope Displays

Rfssa — 3.1.0

Functional Singular Spectrum Analysis

rdhs — 0.8.1

API Client and Dataset Management for the Demographic and Health Survey (DHS) Data

wikiTools — 1.2.14

Tools for Wikidata and Wikipedia

robfilter — 4.1.5

Robust Time Series Filters

netCoin — 2.1.9

Interactive Analytic Networks

ENMTools — 1.1.5

Analysis of Niche Evolution using Niche and Distribution Models

simsurv — 1.0.0

Simulate Survival Data

DoubleML — 1.0.2

Double Machine Learning in R

ShinyItemAnalysis — 1.5.5

Test and Item Analysis via Shiny

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

omock — 0.4.0

Creation of Mock Observational Medical Outcomes Partnership Common Data Model

lime — 0.5.3

Local Interpretable Model-Agnostic Explanations

multiverse — 0.6.2

Create 'multiverse analysis' in R

optrcdmaeAT — 1.0.1

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

soptdmaeA — 1.0.1

Sequential Optimal Designs for Two-Colour cDNA Microarray Experiments

optbdmaeAT — 1.0.2

Optimal Block Designs for Two-Colour cDNA Microarray Experiments

FAfA — 0.3

Factor Analysis for All

semsfa — 1.2

Semiparametric Estimation of Stochastic Frontier Models

caviarpd — 0.3.20

Cluster Analysis via Random Partition Distributions

rNeighborGWAS — 1.2.5

Testing Neighbor Effects in Marker-Based Regressions

accept — 1.0.2

The Acute COPD Exacerbation Prediction Tool (ACCEPT)

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

RISCA — 1.0.7

Causal Inference and Prediction in Cohort-Based Analyses

daltoolboxdp — 1.2.727

Python-Based Extensions for Data Analytics Workflows

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

Rdsdp — 1.0.6

R Interface to DSDP Semidefinite Programming Library

ggseqplot — 0.8.7

Render Sequence Plots using 'ggplot2'

tutorial.helpers — 0.5.0

Helper Functions for Creating Tutorials

pdfsearch — 0.4.3

Search Tools for PDF Files

SUMO — 1.2.0

Generating Multi-Omics Datasets for Testing and Benchmarking

RcppPlanc — 2.0.13

Parallel Low-Rank Approximation with Nonnegativity Constraints

parTimeROC — 0.2.0

Parametric Time-Dependent Receiver Operating Characteristic

vetiver — 0.2.5

Version, Share, Deploy, and Monitor Models

gemtc — 1.1-0

Network Meta-Analysis Using Bayesian Methods

metasens — 1.5-3

Statistical Methods for Sensitivity Analysis in Meta-Analysis

fangs — 0.2.21

Feature Allocation Neighborhood Greedy Search Algorithm

mlr3misc — 0.18.0

Helper Functions for 'mlr3'

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'

mlr3 — 1.0.1

Machine Learning in R - Next Generation

bbotk — 1.6.0

Black-Box Optimization Toolkit

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

mlr3tuning — 1.4.0

Hyperparameter Optimization for 'mlr3'

snowflakeauth — 0.1.2

Authentication Helpers for 'Snowflake'

S7 — 0.2.0

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

kernelshap — 0.9.0

Kernel SHAP

fio — 0.1.6

Friendly Input-Output Analysis

mlr3learners — 0.12.0

Recommended Learners for 'mlr3'

coro — 1.1.0

'Coroutines' for R

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

GetoptLong — 1.0.5

Parsing Command-Line Arguments and Simple Variable Interpolation

string2path — 0.2.2

Rendering Font into 'data.frame'

FuzzyImputationTest — 0.5.1

Imputation Procedures and Quality Tests for Fuzzy Data

mlapi — 0.1.1

Abstract Classes for Building 'scikit-learn' Like API

measurementProtocol — 0.1.1

Send Data from R to the Measurement Protocol

LorMe — 1.2.1

Lightening One-Code Resolving Microbial Ecology Solution

MatrixExtra — 0.1.15

Extra Methods for Sparse Matrices

rsparse — 0.5.3

Statistical Learning on Sparse Matrices

emdbook — 1.3.14

Support Functions and Data for "Ecological Models and Data"

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

text2vec — 0.6.4

Modern Text Mining Framework for R

weights — 1.1.2

Weighting and Weighted Statistics

googleAnalyticsR — 1.2.0

Google Analytics API into R

mlr — 2.19.2

Machine Learning in R

plumber — 1.3.0

An API Generator for R

parallelMap — 1.5.1

Unified Interface to Parallelization Back-Ends

ParamHelpers — 1.14.2

Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning

MVN — 6.1

Multivariate Normality Tests

lgr — 0.5.0

A Fully Featured Logging Framework

ConnectednessApproach — 1.0.4

Connectedness Approach

geojsonsf — 2.0.3

GeoJSON to Simple Feature Converter

jsonify — 1.2.2

Convert Between 'R' Objects and Javascript Object Notation (JSON)

ggformula — 0.12.0

Formula Interface to the Grammar of Graphics

geometries — 0.2.4

Convert Between R Objects and Geometric Structures

sfheaders — 0.4.4

Converts Between R Objects and Simple Feature Objects

h2o — 3.44.0.3

R Interface for the 'H2O' Scalable Machine Learning Platform

BBmisc — 1.13

Miscellaneous Helper Functions for B. Bischl

gamlss — 5.4-22

Generalized Additive Models for Location Scale and Shape

float — 0.3-3

32-Bit Floats

NMAoutlier — 0.2.0

Detecting Outliers in Network Meta-Analysis

vvauditor — 0.7.0

Creates Assertion Tests

TTAinterfaceTrendAnalysis — 1.5.11

Temporal Trend Analysis Graphical Interface

ellmer — 0.3.0

Chat with Large Language Models