Most recently updated packages

renv — 1.3.1

Project Environments

midasINLA — 0.1.2

Spatial MIDAS Models Using INLA

Compind — 3.7

Composite Indicators Functions

SuperCell — 1.2

Simplification of scRNA-Seq Data by Merging Together Similar Cells

enrichit — 0.2.6

'C++' Implementations of Functional Enrichment Analysis

vennDiagramLab — 2.9.0

Headless Venn Diagram Analysis and Rendering

piqp — 0.6.4.1

R Interface to Proximal Interior Point Quadratic Programming Solver

mirt — 1.48

Multidimensional Item Response Theory

BayesRE — 0.1.0

Bayesian Multiple Linear Regression Estimation for Crop Yield

causaljudgment — 0.1.0

Computational Models of Causal Judgment

datascan — 0.1.1

Scan Data for Quick Structural Summaries and Checks

delta.sharing — 0.2.1

Client for the Delta Sharing Protocol

lmeInfo — 0.3.3

Information Matrices for 'lmeStruct' and 'glsStruct' Objects

rgrind — 0.1.0

Gamified Algorithmic and Data Wrangling Challenges for R

rsDCM — 0.1.0

Robust and Sparse Dynamic Causal Modelling for Functional MRI

IncAAM — 1.8

Bayesian Age-at-Maturity Analysis from Increment-Width Growth Series

bigbang — 0.5.1

Build 'Tidyverse'-Style Meta-Packages from Local Package Files

depguard — 0.2.0

Manifest-Based Dependency Conflict Detection for Sandboxed and Desktop R Sessions

peruocc — 0.1.1

Query and Standardize Biodiversity Occurrences in Peru

catchmentACS — 0.6.0

Isochrone-Based Area-Weighted ACS Aggregation

quadriceps — 0.1.0

Positive-Weight Cubature Rules for the Gaussian Weight and the Cube

spdesign — 0.0.7

Designing Stated Preference Experiments

npwbs — 1.0

Nonparametric Multiple Change Point Detection Using Wild Binary Segmentation

sparsediff — 0.6.1

R Interface to the 'SparseDiffEngine' Sparse Differentiation Backend

cataScience — 2.1.4

Interactive Training App for Data Science and AI Skills

exmort — 0.1.1

All-Cause and Excess Mortality Calculator

SimDesign — 2.28

Structure for Organizing Monte Carlo Simulation Designs

funresMech — 1.1.0

Mechanistic Functional Response Analysis

ClinicalUtilityRecal — 0.1.1

Recalibration Methods for Improved Clinical Utility of Risk Scores

MoTBFs — 2.0.1

Learning Hybrid Bayesian Networks using Mixtures of Truncated Basis Functions

OpenSpecy — 2.0.1

Analyze, Process, Identify, and Share Raman and (FT)IR Spectra

GDINA — 2.13.2

The Generalized DINA Model Framework

icesAdvice — 2.1.2

Functions Related to ICES Advice

mini007 — 0.5.0

Lightweight Framework for Orchestrating Multi-Agent Large Language Models

sparklyr — 1.9.6

R Interface to Apache Spark

fishboot — 1.0.4

Bootstrap-Based Methods for the Study of Fish Stocks and Aquatic Populations

hobbs — 0.4.5

High Dimensional Bayesian Omnibus Sampler

talib — 0.9-4

Interface to 'TA-Lib' for Technical Analysis and Candlestick Patterns

ItemRest — 1.0.0

Automated Item Removal Strategies for Exploratory Factor Analysis

tidyfinance — 0.9.0

Tidy Finance Helper Functions

Rgof — 4.0.1

1d Goodness of Fit Tests

WMAP — 1.3.2

Weighted Meta-Analysis with Pseudo-Populations

HistData — 1.1.1

Data Sets from the History of Statistics and Data Visualization

hawkinR — 2.2.0

Interface to the 'Hawkin Dynamics' Force Platform API

fdm2id — 1.0.2

Data Mining and R Programming for Beginners

netrics — 1.1.0

Many Marks, Measures, Memberships, and Motifs for Networks

enhancer — 1.1.2

Mixed-Effects Models Enhancing Functions

spCF — 0.2.2

Coarse-to-Fine Spatial and Spatio-Temporal Modeling

xbioclim — 1.0.3

Bioclimatic Variables from Monthly Climate Data

BIGpopA — 2.1.0

Pedigree Validation Genetic Composition of Diploids & Polyploids

TmCalculator — 1.1.2

Genome-Wide Nucleic Acid Melting Temperature Profiling and Multi-Omics Integration

brapiR2 — 0.2.0

A Tidyverse-Native Client for the 'BrAPI' v2 (Breeding API) Specification

irtQ — 1.3.0

Unidimensional Item Response Theory Modeling

mintyr — 0.2.0

Grouped and Nested Data Pipelines Built on 'data.table'

rtprep — 0.1.0

Screening, Trimming, and Aggregating Response Time Data

paws.common — 0.9.0

Paws Low-Level Amazon Web Services API

AgroMetIndices — 0.1.0

Agrometeorological Indices for Daily, Monthly, and Seasonal Time Scales

rapsimng.decide.cultivar — 0.1.0

Analyse APSIM Next Generation Simulation Outputs for Cultivar Comparison

rapsimng.decide.nitrogen — 0.1.0

Analyse APSIM Next Generation Simulation Outputs for Nitrogen Decision

rapsimng.decide.sowing — 0.1.0

Analyse APSIM Next Generation Simulation Outputs for Sowing Decision

CORAtool — 0.1.2

Combinational Regularity Analysis

xyt — 0.1.0

Extract Raster Time Series Values at Points in Space and Time

ThesiStats — 1.1.0

Statistical Tools for Quantitative Theses

splitpopsurv — 0.1.0

Split-Population (Cure / Mover-Stayer) Survival Models

biomes — 0.9.5

Reproducible Occurrence-to-Biome Classification Using 31 Global Biome Schemes

morph — 2.0.0

3D Segmentation of Voxels into Morphologic Classes

sphereclust — 1.2

Model Based Clustering for Spherical Data Using Elliptically Symmetric Distributions

PROreg — 1.3.3

Patient Reported Outcomes Regression Analysis

tidyllm — 0.7.0

Tidy Integration of Large Language Models

inedemogR — 0.2.0

Tidy Access to Spanish INE Demographic Data

acdcquery — 1.2.4

Query the Attentional Control Data Collection or the Truth Effect Database

HRTnomaly — 26.9.19

Historical, Relational, and Tail Anomaly-Detection Algorithms

insectecol — 1.1.1

Insect Ecology Data Analysis Toolkit

Directional — 7.9

A Collection of Functions for Directional Data Analysis

restrictR — 0.3.0

Composable Runtime Contracts

basifoR — 0.8.0

Retrieval and Processing of the Spanish National Forest Inventory

multiScaleR — 0.7.2

Methods for Optimizing Scales of Effect

GetBCBData — 0.9.5

Imports Datasets from BCB (Central Bank of Brazil) using Its Official API

CatastRo — 1.1.0

Interface to the Spanish 'Catastro' Web Services

surveyplanning — 4.1

Survey Planning Tools

AISanalyze — 3.1.4

Processing and Analyzing AIS Vessel Tracking Data

gedi2 — 2.3.6

Gene Expression Decomposition and Integration

MANOVA.RM — 0.6.0

Resampling-Based Analysis of Multivariate Data and Repeated Measures Designs

irlba — 2.4.1

Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices

mlim — 0.6.0

Single and Multiple Imputation with Automated Machine Learning

cucumber — 2.2.0

Behavior-Driven Development for R

hubEvals — 0.5.0

Tools for Scoring and Evaluating Hubverse Model Outputs

rcxl — 0.1.1

Read xlsx Files with a Native Parser

rgbif — 3.9.0

Interface to the Global Biodiversity Information Facility API

consort — 1.2.4

Create Consort Diagram

aws.ec2metadata — 0.2.2

Get EC2 Instance Metadata

doFuture — 1.4.0

Use Foreach to Parallelize via the Future Framework

Westerlund — 0.1.4

Panel Cointegration Tests Based on Westerlund (2007)

dbscan — 1.2.7

Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Related Algorithms

odiffr — 0.6.0

Fast Pixel-by-Pixel Image Comparison Using 'odiff'

HRRI — 1.0.9

Diagnostics for Soil-Plant-Microbial Redox Recovery

geoaddSAE2 — 0.1.1

Geoadditive Small Area Estimation for Area-Level Model

ast2ast — 1.0.2

Translates an R Function to a C++ Function

toro — 0.2.0

High-Performance Interactive Mapping

semanticfa — 0.5.1

Semantic Factor Analysis of Language Model Embeddings