Most recently updated packages

CurricularComplexityData — 0.2.0

Data for Exploring Curricular Complexity

cuda.ml — 0.3.3

R Interface for the RAPIDS cuML Suite of Libraries

enrichwith — 0.5.0

Methods to Enrich R Objects with Extra Components

blockr.dag — 0.1.2

A Directed Acyclic Graph Extension for 'blockr'

date4ts — 0.1.2

Wrangle and Modify Ts Object with Classic Frequencies and Exact Dates

ConversationAlign — 0.4.1

Process Text and Compute Linguistic Alignment in Conversation Transcripts

NumericEnsembles — 1.2

Automatically Runs 18 Individual and 14 Ensembles of Models

metadat — 1.6-0

Meta-Analysis Datasets

neuroimaGene — 0.1.4

Transcriptomic Atlas of Neuroimaging Derived Phenotypes

seminrExtras — 1.0.0

Conduct Additional Modeling and Analysis for 'seminr'

alakazam — 1.4.3

Immunoglobulin Clonal Lineage and Diversity Analysis

brglm2 — 1.1.0

Bias Reduction in Generalized Linear Models

blockr.dock — 0.1.1

A Docking Layout Manager for 'blockr'

densratio — 0.3.1

Density Ratio Estimation

wrProteo — 2.0.2

Proteomics Data Analysis Functions

arrow — 24.0.0

Integration to 'Apache' 'Arrow'

autoFC — 0.2.0.1010

Automatic Construction of Forced-Choice Tests

glmmrBase — 1.4.0

Generalised Linear Mixed Models in R

grpnet — 1.2

Group Elastic Net Regularized GLMs and GAMs

SFOCDs — 1.2.0

Space Filling Optimal Covariate Designs

rpcss — 0.1.1

Constitution of Core Collections by Principal Component Scoring Strategy

ProFAST — 1.8

Probabilistic Factor Analysis for Spatially-Aware Dimension Reduction

classmap — 1.2.7

Visualizing Classification Results

wrGraph — 1.3.15

Graphics in the Context of Analyzing High-Throughput Data

predicts — 0.2-2

Spatial Prediction Tools

wrMisc — 2.0.2

Analyze Experimental High-Throughput (Omics) Data

L1centrality — 0.5.0

Graph/Network Analysis Based on L1 Centrality

OrdMonReg — 1.0.4

Compute Least Squares Estimates of One Bounded or Two Ordered Isotonic Regression Curves

dtlg — 0.1.0

A Performance-Focused Package for Clinical Trial Tables

madgrad — 0.2.0

'MADGRAD' Method for Stochastic Optimization

discSurv — 2.5.1

Discrete Time Survival Analysis

infoelectoral — 1.0.3

Download Spanish Election Results

shorm — 0.1.3

Detect the Shape of Dose-Response Curves

arcopt — 0.3.0

Adaptive Regularization using Cubics for Optimization

magentabook — 0.1.0

HM Treasury Magenta Book Policy Evaluation Primitives

fahb — 1.0.0

Design and Analysis of Pilot Trials Assessing Recruitment Feasibility

ggrefine — 0.3.0

Publication-Quality 'ggplot2' Themes

rgbIndices — 0.1.1

RGB Visible Indices for Image Analysis

GPArotation — 2026.4-1

Gradient Projection Factor Rotation

dsTidyverseClient — 1.1.0

'DataSHIELD' 'Tidyverse' Clientside Package

ebal — 0.2.1

Entropy Reweighting to Create Balanced Samples

rbiodatacr — 0.1.0

R Client for the BIODATACR Biodiversity Data Platform of Costa Rica

HDNRA — 2.1.0

High-Dimensional Location Testing with Normal-Reference Approaches

ccar3 — 0.1.1

Canonical Correlation Analysis via Reduced Rank Regression

FastGP — 1.3

Efficiently Using Gaussian Processes with Rcpp and RcppEigen

Synth — 1.1-10

Synthetic Control Group Method for Comparative Case Studies

socialmixr — 0.6.0

Social Mixing Matrices for Infectious Disease Modelling

survdnn — 0.7.6

Deep Neural Networks for Survival Analysis with R 'torch'

theft — 0.8.4

Tools for Handling Extraction of Features from Time Series

torchdatasets — 0.3.2

Ready to Use Extra Datasets for Torch

bfboinet — 1.1.0

Backfill Bayesian Optimal Interval Design Using Efficacy and Toxicity

glyparse — 0.6.0

Parsing Glycan Structure Text Representations

SCdeconR — 1.0.2

Deconvolution of Bulk RNA-Seq Data using Single-Cell RNA-Seq Data as Reference

TrenchR — 1.2.1

Tools for Microclimate and Biophysical Ecology

bayesImageS — 0.7-1

Bayesian Methods for Image Segmentation using a Potts Model

longreadvqs — 0.1.5

Viral Quasispecies Comparison from Long-Read Sequencing Data

hbamr — 2.4.6

Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'

SpatialAcc — 0.1-6

Spatial Accessibility Measures

baseverse — 0.1.4

Modern Base-R Functions

rfriend — 3.0.0

Provides Batch Functions and Visualisation for Basic Statistical Procedures

CharAnalysis — 2.0.2

Peak Detection and Fire History from Sediment-Charcoal Records

SmCCNet — 2.0.6

Sparse Multiple Canonical Correlation Network Analysis Tool ('SmCCNet')

rPandas — 0.1.4

Translating from R to Python's Pandas Package

xtfifevd — 1.0.2

Panel Fixed Effects Filtered and Variance Decomposition Estimation

K4PrestasiSiswa — 0.1.0

Student Achievement Data Files for TIMSS 2023 Grade 4

K4ProsesSiswa — 0.1.0

Student Process Data Files for TIMSS 2023 Grade 4

Immutables — 1.0.1

Fast and Functional Data Structures

exams2ilias — 0.0.1

ILIAS Export Interface for R/Exams

ineptr2 — 0.3.0

Wrapper for Statistics Portugal API

EFSATools — 1.0.0

EFSA Ensemble of Data Collections Tools

bedrockbio — 1.3.0

Open-Access Computational Biology Datasets

RMSTpowerBoost — 1.0.3

Power and Sample Size for Restricted Mean Survival Time Based Clinical Trials

GRCFE — 0.1.0

Generate Optimal Row-Column Factorial Experiments

greenbook — 0.1.0

HM Treasury Green Book Cost-Benefit Analysis Primitives

matchpointR — 0.1.0

Tidy Access to Women's Tennis Association (WTA) Data

rgml0 — 0.0.1

Random Graphical Model Estimation under L0 Penalty

rkaf — 0.1.0

Kolmogorov-Arnold Fourier Networks in R

pfwim — 1.0.2

Food Web Construction for Paleo Communities

rtemis.a3 — 0.5.3

Amino Acid Annotation (A3) Format

seairmobility — 0.1.0

Mobility-Based SEAIR Epidemic Models

stochtree — 0.4.2

Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference

cppally — 0.1.0

A 'C++20' API for R

factorselect — 0.1.3

Eigenvalue-Based Estimation of the Number of Factors in Approximate Factor Models

irpfR — 0.1.1

Access to the Great Numbers of Brazilian Individual Income Tax (IRPF)

stagsynth — 0.1.0

Staggered Synthetic Control Estimation and Inference

OmopStudyBuilder — 0.1.0

Build Reproducible Network Studies for OMOP Common Data Model

okxr — 0.2.4

R Interface to the 'OKX' REST API

PGaovR — 0.1.0

Analysis of Experimental Data using ANOVA and Mean Comparison

aemo — 0.4.0

Download Australian Energy Market Operator Data

cABCanalysis — 1.0

Computed ABC Analysis

cer — 0.1.0

Download and Tidy Australian Clean Energy Regulator Data

mlS3 — 0.1.0

Unified S3 Interface to Machine Learning Models

mortar — 0.4.0

Standardize Data Science Workflows

nestable — 0.1.0

Collapsible 'HTML' Tables from Hierarchical Data

smfa — 1.0.0

Stochastic Metafrontier Analysis

ato — 0.1.0

Download and Tidy Australian Taxation Office Data

ngme2 — 0.9.7

Linear Latent Non-Gaussian Models with Flexible Distributions

vasicekfit — 0.1.0

Extended Vasicek Credit Loss Model with Macroeconomic Factors

apca — 1.0.0

Advanced Principal Component Analysis

lsReg — 1.0.0

Performs Large Scale Regressions