{whisper} 0.1.0: Native R ‘torch’ Implementation of ‘OpenAI’ ‘Whisper’
{vascr} 0.1.4: Process Biological Impedance Sensing Data
{tirt} 0.1.3: Testlet Item Response Theory
{nlmixr2auto} 1.0.0: Automated Population Pharmacokinetic Modeling
{keyed} 0.1.3: Explicit Key Assumptions for Flat-File Data
{indonesiaFootballScoutR} 0.1.3: Tools for Football Player Scouting in Indonesia
{bioLeak} 0.1.0: Leakage-Safe Modeling and Auditing for Genomic and Clinical Data
{bayesics} 2.0.2: Bayesian Analyses for One- and Two-Sample Inference and Regression Methods
{BayesianHybridDesign} 0.1.0: Bayesian Hybrid Design and Analysis
{areaOfEffect} 0.2.4: Spatial Support at Scale
{wired} 1.0.0: Weighted Adaptive Prediction with Structured Dependence
{snreg} 1.2.0: Regression with Skew-Normally Distributed Error Term
{resLIK} 0.1.2: Representation-Level Control Surfaces for Reliability Sensing
{PPtreeExt} 0.1.0: Projection Pursuit Classification Tree Extensions
{mortSOA} 0.1.0: Obtain Data from the Society of Actuaries ‘Mortality and Other Rate Tables’ Site
{tidylearn} 0.1.0: A Unified Tidy Interface to R’s Machine Learning Ecosystem
{quickSentiment} 0.1.0: A Fast and Flexible Pipeline for Text Classification
{numspellR} 0.1.0: Detection of Numeric Persistence and Rigidity Patterns
{climenu} 0.1.3: Interactive Command-Line Menus
{roxigraph} 0.1.0: ‘RDF’ and ‘SPARQL’ for R using ‘Oxigraph’
{regextable} 0.1.1: Pattern-Based Text Extraction and Standardization with Lookup Tables
{wlsd} 1.0.1: Wrangling Longitudinal Survival Data
{Orangutan} 2.0.0: Automated Analysis of Phenotypic Data
{marinepredator} 0.0.1: Marine Predators Algorithm
{GalaxyR} 0.1.0: ‘Galaxy’ API Implementation
{directadjusting} 0.6.1: Directly Adjusted Estimates
{SNMA} 0.1.5: Stream Network Movement Analyses
{ppweibull} 1.0: Piecewise Lifetime Models
{gsDesignTune} 0.1.0: Dependency-Aware Scenario Exploration for Group Sequential Designs
{avstrat} 0.1.1: Stratigraphic Data Processing and Section Plots
{typeR} 0.2.0: Simulate Typing Script
{tidyextreme} 1.0.0: A Tidy Toolbox for Climate Extreme Indices
{sqlm} 0.1.0: SQL-Backed Linear Regression
{setweaver} 1.0.0: Building Sets of Variables in a Probabilistic Framework
{CurricularComplexityData} 0.1.0: Data for Exploring Curricular Complexity
{vismi} 0.9.5: Visual Diagnostics for Multiple Imputation

{sleacr} 0.1.3: Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage (SLEAC) Tools
{rcatfish} 1.0.0: An R Interface to the California Academy of Sciences Eschmeyer’s Catalog of Fishes
{SepTest} 0.0.1: Tests for First-Order Separability in Spatio-Temporal Point Processes
{SemiparMF} 1.0.0: Semiparametric Spatiotemporal Model with Mixed Frequencies
{scenfire} 0.1.0: Post-Processing Algorithm for Integrating Wildfire Simulations
{multiRec} 1.0.6: Analysis of Multi-Type Recurrent Events
{gipsDA} 0.1.2: Training DA Models Utilizing ‘gips’
{findn} 0.1.0: Simulation Based Sample Size Estimation
{educabR} 0.1.0: Download and Process Brazilian Education Data from INEP
{sasif} 0.1.2: ‘SAS’ IF Style Data Step Logic for Data Tables
{phinterval} 1.0.0: Set Operations on Time Intervals
{multiSA} 0.1.0: Multi-Stock Assessment
{MADtests} 0.1.1: Hypothesis Tests and Confidence Intervals for Median Absolute Deviations
{baselinenowcast} 0.2.0: Baseline Nowcasting for Right-Truncated Epidemiological Data
{spanner} 1.0.2: Utilities to Support Lidar Applications at the Landscape, Forest, and Tree Scale
{opusreader2} 0.6.8: Read Spectroscopic Data from Bruker OPUS Binary Files
{nomiShape} 1.0.0: Visualization and Analysis of Nominal Variable Distributions
{healthbR} 0.1.1: Access Brazilian Public Health Data
{CGMissingDataR} 0.0.1: Missingness Benchmark for Continuous Glucose Monitoring Data
{rotulador} 1.0.0: Useful Functions for Programming and Generating Documents
{fluxfixer} 1.0.0: Advanced Framework for Sap Flow Data Post-Process
{blindspiker} 0.2.0: Laboratory Blind Spike Sample Analyses
{BioGSP} 1.0.0: Biological Graph Signal Processing for Spatial Data Analysis
{SVG} 1.0.0: Spatially Variable Genes Detection Methods for Spatial Transcriptomics
{date4ts} 0.1.1: Wrangle and Modify Ts Object with Classic Frequencies and Exact Dates
{comphy} 1.0.5: Functions Used in the Book “Computational Physics with R”
{blockstrap} 1.0.0: Sample Dataframes by a Group
{adsasi} 0.9.0.1: Adaptive Sample Size Simulator

GitHub or Bitbucket

{timenow}: Quick Timezone-aware Timestamps

Updated Packages

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rfoaas 2.3.3: Limited Rebirth
littler 0.3.23 on CRAN: More Features (and Fixes)
blockr.dag update: ports.
{vazul} 1.1.0: Analysis Blinding Tools - diffify
{scorecard} 0.4.6: Credit Risk Scorecard - diffify
{reporter} 1.4.6: Creates Statistical Reports - diffify
{partykit} 1.2-25: A Toolkit for Recursive Partytioning - diffify
{mlpack} 4.7.0: ‘Rcpp’ Integration for the ‘mlpack’ Library - diffify
{gratia} 0.11.2: Graceful ‘ggplot’-Based Graphics and Other Functions for GAMs Fitted Using ‘mgcv’ - diffify
{bibliorefer} 0.1.3: Generator of Main Scientific References - diffify
{bcdata} 0.5.2: Search and Retrieve Data from the BC Data Catalogue - diffify
{osrm.backend} 0.2.0: Bindings for ‘Open Source Routing Machine’ - diffify
{crosswalkr} 0.4.0: Rename and Encode Data Frames Using External Crosswalk Files - diffify
{UCSCXenaTools} 1.7.0: Download and Explore Datasets from UCSC Xena Data Hubs - diffify
{SomaDataIO} 6.5.0: Input/Output ‘SomaScan’ Data - diffify
{shinyscholar} 0.4.4: A Template for Creating Reproducible ‘shiny’ Applications - diffify
{OmopSketch} 1.0.1: Characterise Tables of an OMOP Common Data Model Instance - diffify
{feisr} 1.3.1: Estimating Fixed Effects Individual Slope Models - diffify
{eurlex} 0.4.9: Retrieve Data on European Union Law - diffify
{BioCro} 3.3.1: Modular Crop Growth Simulations - diffify
{profileModel} 0.6.2: Profiling Inference Functions for Various Model Classes - diffify
{ipeaplot} 0.5.1: Add Ipea Editorial Standards to ‘ggplot2’ Graphics - diffify
{gooseR} 0.1.2: R Integration for ‘Goose’ AI - diffify
{vigicaen} 1.0.0: ‘VigiBase’ Pharmacovigilance Database Toolbox - diffify
{micar} 1.2.0: ‘Mica’ Data Web Portal Client - diffify
{AutoPlots} 1.5.0: Creating Echarts Visualizations as Easy as Possible - diffify
{tidydfidx} 0.0-3: Indexed ‘tibble’ and Methods for ‘dplyr’ - diffify
{resourcecode} 0.5.3: Access to the ‘RESOURCECODE’ Hindcast Database - diffify
{gifti} 0.9.0: Reads in ‘Neuroimaging’ ‘GIFTI’ Files with Geometry Information - diffify
{resourcer} 1.5.0: Resource Resolver - diffify
{SBMTrees} 1.4: Longitudinal Sequential Imputation and Prediction with Bayesian Trees Mixed-Effects Models for Longitudinal Data - diffify
{permute} 0.9-10: Functions for Generating Restricted Permutations of Data - diffify
{bindrcpp} 0.2.4: An ‘Rcpp’ Interface to Active Bindings - diffify
{simPH} 1.3.15: Simulate and Plot Estimates from Cox Proportional Hazards Models - diffify
{Ruido} 1.0.2: Soundscape Background Noise, Power, and Saturation - diffify
{qryflow} 0.2.0: Execute Multi-Step ‘SQL’ Workflows - diffify
{traumar} 1.2.4: Calculate Metrics for Trauma System Performance - diffify
{tidychangepoint} 1.0.4: A Tidy Framework for Changepoint Detection Analysis - diffify
{Rparadox} 0.2.0: Read Paradox Database Files into R - diffify
{idmc} 0.4.1: Load and Wrangle IDMC Displacement Data - diffify
{shinyloadtest} 1.2.1: Load Test Shiny Applications - diffify
{phsopendata} 1.0.3: Extract from the Scottish Health and Social Care Open Data Platform - diffify
{penetrance} 0.1.2: Methods for Penetrance Estimation in Family-Based Studies - diffify
{ISAR} 1.0.2: Introduction to Sports Analytics using R (ISAR) Data - diffify
{HVT} 26.1.2: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis - diffify
{tidyCDISC} 0.2.2: Quick Table Generation & Exploratory Analyses on ADaM-Ish Datasets - diffify
{BFS} 0.7.1: Get Data from the Swiss Federal Statistical Office - diffify
{fru} 0.0.3: A Blazing Fast Implementation of Random Forest - diffify
{doRNG} 1.8.6.3: Generic Reproducible Parallel Backend for ‘foreach’ Loops - diffify
{statsExpressions} 1.7.3: Tidy Dataframes and Expressions with Statistical Details - diffify
{aion} 1.7.0: Archaeological Time Series - diffify
{cardargus} 0.2.1: Generate SVG Information Cards with Embedded Fonts and Badges - diffify
{discovr} 1.0.0: Interactive Tutorials and Data for “Discovering Statistics Using R and RStudio” - diffify
{chunked} 0.6.2: Chunkwise Text-File Processing for ‘dplyr’ - diffify
{pmparser} 1.0.24: Create and Maintain a Relational Database of Data from PubMed/MEDLINE - diffify
{efdm} 0.2.2: Simulate Forest Resources with the European Forestry Dynamics Model - diffify
{COMIX} 1.0.2: Coarsened Mixtures of Hierarchical Skew Kernels - diffify
{collections} 0.3.11: High Performance Container Data Types - diffify
{cardx} 0.3.2: Extra Analysis Results Data Utilities - diffify
{PAMscapes} 0.15.0: Tools for Summarising and Analysing Soundscape Data - diffify
{vowels} 1.2-3: Vowel Manipulation, Normalization, and Plotting - diffify
{kDGLM} 1.2.12: Bayesian Analysis of Dynamic Generalized Linear Models - diffify
{kindling} 0.2.0: Higher-Level Interface of ‘torch’ Package to Auto-Train Neural Networks - diffify
{BayesMallowsSMC2} 0.2.1: Nested Sequential Monte Carlo for the Bayesian Mallows Model - diffify
{PaRe} 0.1.16: A Way to Perform Code Review or QA on Other Packages - diffify
{goat} 1.1.5: Gene Set Analysis Using the Gene Set Ordinal Association Test - diffify
{ediblecity} 0.2.2: Modeling Urban Agriculture at City Scale - diffify
{restatapi} 0.24.5: Search and Retrieve Data from Eurostat Database - diffify
{tidywikidatar} 0.6.0: Explore ‘Wikidata’ Through Tidy Data Frames - diffify
{insight} 1.4.6: Easy Access to Model Information for Various Model Objects - diffify
{fanyi} 0.1.1: Translate Words or Sentences via Online Translators - diffify
{lubridate} 1.9.5: Make Dealing with Dates a Little Easier - diffify
{beast} 1.2: Bayesian Estimation of Change-Points in the Slope of Multivariate Time-Series - diffify
{viridisLite} 0.4.3: Colorblind-Friendly Color Maps (Lite Version) - diffify
{wizaRdry} 0.6.4: A Magical Framework for Collaborative & Reproducible Data Analysis - diffify
{bmemLavaan} 0.7: Mediation Analysis with Missing Data and Non-Normal Data - diffify
{layer} 0.0.4: Tilt your Maps and Turn Them into ‘ggplot’ Plots - diffify