Most recently updated packages

nakagami — 1.2.0

Functions for the Nakagami Distribution

ErrorTracer — 1.4.1

Bayesian Error Propagation and Forecast Uncertainty Decomposition

exiftoolr — 0.2.10

ExifTool Functionality from R

gllvmTMB — 0.7.1

Generalised Linear Latent Variable Models

shinyreprex — 0.4.0

Reproducible Code for 'Shiny' Objects

gargle — 1.7.0

Utilities for Working with Google APIs

OpenRange — 0.0.3

Code to Access Open Access Species Range Maps

logtree — 0.2.1

Tree-Style Console Logger for Nested Processes

PAmeasures — 2.0.0

Performance Assessment for Continuous and Survival Outcomes

sportyR — 2.4.5

Plot Scaled 'ggplot' Representations of Sports Playing Surfaces

stargazer2 — 0.1.2

Beautiful Regression Tables for Modern Econometrics Packages

MSEtool — 3.7.6

Management Strategy Evaluation Toolkit

poorman — 0.3.0

A Poor Man's Dependency Free Recreation of 'dplyr'

rolescry — 0.3.1

Name-Blind Variable-Role Detection by Data Signature

MAIHDA — 0.3.0

Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy

TesiproV — 1.0.0

Reliability Analysis Methods for Structural Engineering

VsusP — 1.1.0

Variable Selection Using Shrinkage Priors

MultANOVA — 1.1.1

Analysis of Designed High-Dimensional Data using the Comprehensive MultANOVA Framework

BFpack — 1.6.2

Flexible Bayes Factor Testing of Scientific Expectations

rjd3toolkit — 3.9.1

Utility Functions Around 'JDemetra+ 3.0'

NetworkToolbox — 1.5.0

Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis

diagFDR — 0.2.1

Assessing False Discovery Rate Claims in Proteomics

BFI — 3.3.0

Bayesian Federated Inference

LaMa — 3.0.0

Fast Numerical Maximum Likelihood Estimation for Latent Markov Models

kdensity — 2.0.0

Kernel Density Estimation with Parametric Starts and Asymmetric Kernels

dina — 2.0.3

Bayesian Estimation of DINA Model

hydroloom — 1.3.0

Utilities to Weave Hydrologic Fabrics

framework — 1.1.0

Structured Data Science Project Scaffolding

insight — 1.6.1

Easy Access to Model Information for Various Model Objects

SWMPr — 2.5.3

Retrieving, Organizing, and Analyzing Estuary Monitoring Data

connector.databricks — 0.2.0

Expand 'connector' Package for 'Databricks' Tables and Volumes

bfbin2arm — 0.1.7

Bayes Factor Design for Two-Arm Binomial Trials

metafrontier — 0.4.0

Analysis of Metafrontier Models for Efficiency and Productivity

cafast — 0.1.0

Fast Companions to the 'CAs' Package for Covering Arrays

lczexplore — 0.1.1

Imports, Visualizes, Compares and Explores Maps of Local Climate Zones

dgtf — 0.1.0

Variational and Monte Carlo Inference for Bayesian State-Space Models of Count Data

rcosmo — 1.1.5

Cosmic Microwave Background Data Analysis

saydo — 0.1.0

Link What People Say to What They Do with LLM-Coded Themes

actuarialfitdist — 0.2.3

Actuarial Severity Fitting with Limits and Deductibles

hairline — 0.1.0

Clean, Predictable Figures for Medical and Data Science

multipathaic — 0.1.3

Multi-Path Stepwise Selection with AIC

AURMC — 0.5.0

Area Under the Repeated Measures Curve

GGIRread — 1.2.0

Wearable Accelerometer Data File Readers

awscrt — 0.1.1

Hardware-Accelerated 'CRC Checksums' from the AWS Common Runtime

bartisan — 0.1.0

Generalized Bayesian Additive Regression Trees

lepidoptera — 0.1.2

Domain-Agnostic Causal Simulation Engine with Mixed Variable Types

Directional — 8.0

A Collection of Functions for Directional Data Analysis

PortinariColors — 0.3.0

Color Palettes Inspired by the Paintings of Candido Portinari

RASbound — 0.0.1

Bounded RAS / Biproportional Matrix Balancing with Cell-Level Constraints

dist.structure — 0.5.1

Structured Random Variables for Reliability System Distributions

ASmiR — 0.1.1

Prediction of Abiotic Stress-Specific miRNAs in Plants

creditratingsystem — 0.1.0

Offline Credit Risk Modelling, Calibration and Validation

evgmrf — 0.1.0

Gaussian Markov Random Field Models for Extreme Values

nabla — 0.7.2

Exact Derivatives via Automatic Differentiation

survexp.fr — 1.4

Relative Survival, AER and SMR Based on French Death Rates

RDelta — 0.1.0

Parse and Query DELTA-Format Taxonomic Descriptions

gridpattern — 1.5.1

'grid' Pattern Grobs

psdea — 1.0.0

Data Envelopment Analysis with User-Defined and Learned Reference Sets

BayesAiken — 2.0.0

Bayesian Content Validity Coefficients with Credibility Intervals

aidR — 0.2.4

Reading and Standardizing Automated Insulin Delivery Data

tppcm — 0.1.0

Step Discriminations for the Two-Parameter Partial Credit Model on Top of 'TAM'

PrismR — 1.0.0

Pre-Modeling Statistical Audit Framework

aqp — 2.3.3

Algorithms for Quantitative Pedology

HMMscpg — 1.0.0

Hidden Markov Models and Shifted Compound Poisson-Gamma Renewal Process

INLAcircular — 1.0.0

Bayesian Joint Circular Regression Using 'INLA'

carrier — 0.4.0

Isolate Functions for Remote Execution

Familia — 2.2.0

'shiny' Application for Population Structure and Ancestry Assessments

RidgeLRGLH — 0.1.0

Ridge-Regularized Largest Root Tests for General Linear Hypotheses

gtfstools — 2.0.0

General Transit Feed Specification (GTFS) Editing and Analysing Tools

rd2dnet — 0.1.0

Boundary Discontinuity Designs on Networks

shinyTree — 1.0.0

'jsTree' Bindings for 'Shiny'

Rduckhts — 2.0.2.0.1.1

'DuckDB' High Throughput Sequencing File Formats Reader Extension

controlledburn — 0.3.2

Sparse Geometry Rasterization with Exact Coverage Fractions

likelihood.contr — 0.2.0

Likelihood Contribution Models for Heterogeneous Observation Types

discoCVI — 0.2.1

Implementation of the DISCO Metric for Internal Clustering Evaluation

glmnet — 5.2

Lasso and Elastic-Net Regularized Generalized Linear Models

spinebil — 1.0.6

Investigating New Projection Pursuit Index Functions

washr — 1.2.0

Publication Toolkit for Water, Sanitation and Hygiene (WASH) Data

thisutils — 0.5.3

Reliable Utilities for Reusable Research Workflows

cna — 4.1.0

Causal Modeling with Coincidence Analysis

thisplot — 0.4.6

Utility Functions for Plotting

wsMed — 1.2.0

Within-Subject Mediation Analysis Using Structural Equation Modeling

CompositionalSR — 1.5

Spatial Regression Models with Compositional Data

compositional.mle — 2.0.1

Compositional Maximum Likelihood Estimation

likelihood.model — 1.0.2

Likelihood-Based Statistical Inference in the Fisherian Tradition

flexhaz — 0.5.3

Dynamic Failure Rate Distributions for Survival Analysis

algebraic.mle — 2.0.3

Algebraic Maximum Likelihood Estimators

dynutils — 1.0.13

Common Functionality for the 'dynverse' Packages

enrichit — 0.2.7

'C++' Implementations of Functional Enrichment Analysis

figsr — 0.2.0

Fast Interpretable Greedy-Tree Sums for Tree Ensembles

kindisperse — 0.10.3

Simulate and Estimate Close-Kin Dispersal Kernels

doclingr — 0.1.1

Document Intelligence via 'Docling'

dyadMLM — 0.3.0

Tools for Dyadic Multilevel Models

OmopIndices — 0.2.0

Patient-Level Indices from the OMOP Common Data Model

discoCVI — 0.2.0

Implementation of the DISCO Metric for Internal Clustering Evaluation

iq — 2.1.0

Protein Quantification in Mass Spectrometry-Based Proteomics

rYWAASB — 0.4.2

Simultaneous Selection by Trait and WAASB Index

SpaDES.tools — 2.2.0

Additional Tools for Developing Spatially Explicit Discrete Event Simulation (SpaDES) Models

bifactory — 0.6.1

(Bifactor) ESEM with Continuous (MLR) or Ordinal (WLSMV) Data

glmulti — 1.0.9

Model Selection and Multimodel Inference Made Easy