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{gausscov} 1.1.6: The Gaussian Covariate Method for Variable Selection - diffify
{avesperu} 0.0.6: Access to the List of Birds Species of Peru - diffify
{confidence} 1.1-3: Confidence Estimation of Environmental State Classifications - diffify
{stepmixr} 0.1.3: Interface to ‘Python’ Package ‘StepMix’ - diffify
{rcrisp} 0.1.4: Automate the Delineation of Urban River Spaces - diffify
{pillar} 1.11.0: Coloured Formatting for Columns - diffify
{ggpedigree} 0.8.0: Visualizing Pedigrees with ‘ggplot2’ and ‘plotly’ - diffify
{WARDEN} 1.2.4: Workflows for Health Technology Assessments in R using Discrete EveNts - diffify
{PoSIAdjRSquared} 0.1.0: Post-Selection Inference for Adjusted R Squared - diffify
{latrend} 1.6.2: A Framework for Clustering Longitudinal Data - diffify
{admiralophtha} 1.3.0: ADaM in R Asset Library - Ophthalmology - diffify
{qch} 2.1.0: Query Composite Hypotheses - diffify
{lares} 5.3.1: Lean Analytics and Robust Exploration Sidekick - diffify
{pharmaversesdtm} 1.3.0: SDTM Test Data for the ‘Pharmaverse’ Family of Packages - diffify
{litteR} 1.0.1: Litter Analysis - diffify
{mgcViz} 0.2.1: Visualisations for Generalized Additive Models - diffify
{icmstate} 0.2.0: Interval Censored Multi-State Models - diffify
{CalibrationCurves} 2.0.6: Calibration Performance - diffify
{BCEA} 2.4.8: Bayesian Cost Effectiveness Analysis - diffify
{sampcompR} 0.3.1.2: Comparing and Visualizing Differences Between Surveys - diffify
{equatiomatic} 0.3.7: Transform Models into ‘LaTeX’ Equations - diffify
{benthos} 1.3-9: Marine Benthic Ecosystem Analysis - diffify
{HVT} 25.2.5: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis - diffify
{biometryassist} 1.3.1: Functions to Assist Design and Analysis of Agronomic Experiments - diffify
{openxlsx2} 1.17: Read, Write and Edit ‘xlsx’ Files - diffify
{tern.mmrm} 0.3.3: Tables and Graphs for Mixed Models for Repeated Measures (MMRM) - diffify
{kanova} 0.3-18: Quasi Analysis of Variance for K-Functions - diffify
{PPSFS} 0.1.1: Partial Profile Score Feature Selection in High-Dimensional Generalized Linear Interaction Models - diffify
{vosonSML} 0.35.1: Collecting Social Media Data and Generating Networks for Analysis - diffify
{scpi} 3.0.1: Prediction Intervals for Synthetic Control Methods with Multiple Treated Units and Staggered Adoption - diffify
{tidywater} 0.9.0: Water Quality Models for Drinking Water Treatment Processes - diffify
{netCoin} 2.1.9: Interactive Analytic Networks - diffify
{longevity} 1.2.1: Statistical Methods for the Analysis of Excess Lifetimes - diffify
{msigdbr} 25.1.0: MSigDB Gene Sets for Multiple Organisms in a Tidy Data Format - diffify
{acro} 0.1.5: A Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs - diffify
{nanoarrow} 0.7.0: Interface to the ‘nanoarrow’ ‘C’ Library - diffify
{mapgl} 0.3.1: Interactive Maps with ‘Mapbox GL JS’ and ‘MapLibre GL JS’ - diffify
{gtsummary} 2.3.0: Presentation-Ready Data Summary and Analytic Result Tables - diffify
{fitdistrplus} 1.2-4: Help to Fit of a Parametric Distribution to Non-Censored or Censored Data - diffify
{yhat} 2.0-5: Interpreting Regression Effects - diffify
{ideanet} 1.1.1: Integrating Data Exchange and Analysis for Networks (‘ideanet’) - diffify
{epm} 1.1.5: EcoPhyloMapper - diffify
{troopdata} 1.0.4: Tools for Analyzing Cross-National Military Deployment and Basing Data - diffify
{rD3plot} 1.1.37: Interactive Networks, Timelines, Barplots, Galleries with ‘D3.js’ - diffify
{gFormulaMI} 1.0.2: G-Formula for Causal Inference via Multiple Imputation - diffify
{eventstudyr} 1.1.4: Estimation and Visualization of Linear Panel Event Studies - diffify
{cardx} 0.2.5: Extra Analysis Results Data Utilities - diffify
{galamm} 0.2.3: Generalized Additive Latent and Mixed Models - diffify
{alqrfe} 1.2: Adaptive Lasso Quantile Regression with Fixed Effects - diffify
{tinytable} 0.10.0: Simple and Configurable Tables in ‘HTML’, ‘LaTeX’, ‘Markdown’, ‘Word’, ‘PNG’, ‘PDF’, and ‘Typst’ Formats - diffify
{statgenHTP} 1.0.9.1: High Throughput Phenotyping (HTP) Data Analysis - diffify
{mlr3} 1.0.1: Machine Learning in R - Next Generation - diffify
{migest} 2.0.5: Tools for Estimating, Measuring and Working with Migration Data - diffify
{mapi} 1.1.4: Mapping Averaged Pairwise Information - diffify
{cards} 0.6.1: Analysis Results Data - diffify
{eyeris} 2.0.0: Flexible, Extensible, & Reproducible Pupillometry Preprocessing - diffify
{shiny} 1.11.1: Web Application Framework for R - diffify
{ggfortify} 0.4.18: Data Visualization Tools for Statistical Analysis Results - diffify
{iAR} 1.3.1: Irregularly Observed Autoregressive Models - diffify
{thisutils} 0.0.5: Collection of Utility Functions for Data Analysis and Computing - diffify
{iNZightTS} 2.0.2: Time Series for ‘iNZight’ - diffify
{spmodel} 0.11.0: Spatial Statistical Modeling and Prediction - diffify
{Directional} 7.2: A Collection of Functions for Directional Data Analysis - diffify
{Ake} 1.0.2: Associated Kernel Estimations - diffify
{repmis} 0.5.1: Miscellaneous Tools for Reproducible Research - diffify
{rddtools} 2.0.1: Toolbox for Regression Discontinuity Design (‘RDD’) - diffify
{lfproQC} 1.4.1: Quality Control for Label-Free Proteomics Expression Data - diffify
{ggstats} 0.10.0: Extension to ‘ggplot2’ for Plotting Stats - diffify
{DrugUtilisation} 1.0.4: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model - diffify
{coda.base} 1.0.3: A Basic Set of Functions for Compositional Data Analysis - diffify
{Robyn} 3.12.1: Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing Science - diffify
{missingHE} 1.5.1: Missing Outcome Data in Health Economic Evaluation - diffify
{bspcov} 1.0.2: Bayesian Sparse Estimation of a Covariance Matrix - diffify
{tidyplots} 0.3.1: Tidy Plots for Scientific Papers - diffify
{rencher} 0.1.4: Datasets from the Book “Methods of Multivariate Analysis (3rd)” - diffify
{RcppArmadillo} 14.6.0-1: ‘Rcpp’ Integration for the ‘Armadillo’ Templated Linear Algebra Library - diffify
{ctrdata} 1.23.0: Retrieve and Analyze Clinical Trials Data from Public Registers - diffify
{PopGenHelpR} 1.4.0: Streamline Population Genomic and Genetic Analyses - diffify
{fractalforest} 1.0.1: Simulate Fractal Trees and Forests - diffify
{xlsxjars} 0.9.0: Package Required POI Jars for the xlsx Package - diffify
{track2KBA} 1.1.3: Identifying Important Areas from Animal Tracking Data - diffify
{survivalSL} 0.98: Super Learner for Survival Prediction from Censored Data - diffify
{RRgeo} 0.0.5: Species Distribution Modelling for Rare Species - diffify
{Rcpp} 1.1.0: Seamless R and C++ Integration - diffify
{Patterns} 1.6: Deciphering Biological Networks with Patterned Heterogeneous Measurements - diffify
{iNEXT.3D} 1.0.10: Interpolation and Extrapolation for Three Dimensions of Biodiversity - diffify
{GDINA} 2.9.12: The Generalized DINA Model Framework - diffify
{fetwfe} 1.5.0: Fused Extended Two-Way Fixed Effects - diffify
{dm} 1.0.12: Relational Data Models - diffify
{tidytlg} 0.10.0: Create TLGs using the ‘tidyverse’ - diffify
{ratlas} 0.1.1: ATLAS Formatting Functions and Templates - diffify
{vcfppR} 0.8.0: Rapid Manipulation of the Variant Call Format (VCF) - diffify
{JustifyAlpha} 0.1.2: Justifying Alpha Levels for Hypothesis Tests - diffify
{PFIM} 7.0: Population Fisher Information Matrix - diffify
{manydist} 0.4.5: Unbiased Distances for Mixed-Type Data - diffify
{restoptr} 1.1.1: Ecological Restoration Planning - diffify
{qpdf} 1.4.1: Split, Combine and Compress PDF Files - diffify
{predRupdate} 0.2.1: Prediction Model Validation and Updating - diffify
{ggsurveillance} 0.5.1: Tools for Outbreak Investigation/Infectious Disease Surveillance - diffify
{cobs} 1.3-9-1: Constrained B-Splines (Sparse Matrix Based) - diffify
{survivalPLANN} 0.4: Neural Networks to Predict Survival - diffify
{SLOPE} 1.0.1: Sorted L1 Penalized Estimation - diffify
{reproducibleRchunks} 1.1.0: Automated Reproducibility Checks for R Markdown Documents - diffify
{qmd} 1.1.3: Quantification of Multivariate Dependence - diffify
{qad} 1.0.5: Quantification of Asymmetric Dependence - diffify
{pdcor} 1.2: Fast and Light-Weight Partial Distance Correlation - diffify
{ordr} 0.1.2: A ‘tidyverse’ Extension for Ordinations and Biplots - diffify
{mappeR} 2.2.1: Construct and Visualize TDA Mapper Graphs - diffify
{jsmodule} 1.6.11: ‘RStudio’ Addins and ‘Shiny’ Modules for Medical Research - diffify
{AgroR} 1.3.7: Experimental Statistics and Graphics for Agricultural Sciences - diffify
{WINS} 1.5.1: The R WINS Package - diffify
{SCE} 1.1.0: Stepwise Clustered Ensemble - diffify
{invgamma} 1.2: The Inverse Gamma Distribution - diffify
{ggbreak} 0.1.5: Set Axis Break for ‘ggplot2’ - diffify
{aplot} 0.2.8: Decorate a ‘ggplot’ with Associated Information - diffify
{ottr} 1.5.2: An R Autograding Extension for Otter-Grader - diffify
{BMEmapping} 1.0.0: Spatial Interpolation using Bayesian Maximum Entropy (BME) - diffify
{vectorsurvR} 1.5.0: Data Access and Analytical Tools for ‘VectorSurv’ Users - diffify
{piiR} 0.3.0: Predictive Information Index (‘PII’) - diffify
{itsdm} 0.2.2: Isolation Forest-Based Presence-Only Species Distribution Modeling - diffify
{AgroReg} 1.2.11: Regression Analysis Linear and Nonlinear for Agriculture - diffify
{covidcast} 0.5.3: Client for Delphi’s ‘COVIDcast Epidata’ API - diffify
{ageutils} 0.0.9: Collection of Functions for Working with Age Intervals - diffify
{RegDDM} 1.1: Generalized Linear Regression with DDM - diffify
{isoWater} 1.2.1: Discovery, Retrieval, and Analysis of Water Isotope Data - diffify
{zdeskR} 0.6.0: Connect to Your ‘Zendesk’ Data - diffify
{evolMap} 1.3.14: Dynamic and Interactive Maps - diffify
{adelie} 1.0.8: Group Lasso and Elastic Net Solver for Generalized Linear Models - diffify
{mapsf} 1.0.0: Thematic Cartography - diffify
{plotor} 0.7.0: Produces an Odds Ratio Plot from a Logistic Regression Model - diffify
{Rogue} 2.1.7: Identify Rogue Taxa in Sets of Phylogenetic Trees - diffify
{quantdr} 1.3.2: Dimension Reduction Techniques for Conditional Quantiles - diffify
{smooth} 4.3.0: Forecasting Using State Space Models - diffify
{metagam} 0.4.1: Meta-Analysis of Generalized Additive Models - diffify
{countfitteR} 1.5: Comprehensive Automatized Evaluation of Distribution Models for Count Data - diffify
{AccelStab} 2.3.1: Accelerated Stability Kinetic Modelling - diffify
{prompter} 1.2.1: Add Tooltips in ‘Shiny’ Apps with ‘Hint.css’ - diffify
{bayestestR} 0.16.1: Understand and Describe Bayesian Models and Posterior Distributions - diffify
{postcard} 1.0.1: Estimating Marginal Effects with Prognostic Covariate Adjustment - diffify
{statgenIBD} 1.0.9: Calculation of IBD Probabilities - diffify
{statgenGWAS} 1.0.12: Genome Wide Association Studies - diffify
{meteospain} 0.2.1: Access to Spanish Meteorological Stations Services - diffify
{jstable} 1.3.13: Create Tables from Different Types of Regression - diffify
{palettes} 0.2.2: Methods for Colour Vectors and Colour Palettes - diffify
{insight} 1.3.1: Easy Access to Model Information for Various Model Objects - diffify
{zCompositions} 1.5.0-5: Treatment of Zeros, Left-Censored and Missing Values in Compositional Data Sets - diffify
{sparklyr} 1.9.1: R Interface to Apache Spark - diffify
{maplegend} 0.3.0: Legends for Maps - diffify
{ggseqplot} 0.8.7: Render Sequence Plots using ‘ggplot2’ - diffify
{greybox} 2.0.5: Toolbox for Model Building and Forecasting - diffify
{PLMIX} 2.2.0: Bayesian Analysis of Finite Mixture of Plackett-Luce Models - diffify
{wintime} 0.4.0: Win Time Methods for Time-to-Event Data in Clinical Trials - diffify
{segtest} 2.0.0: Tests for Segregation Distortion in Polyploids - diffify
{Rmonize} 2.0.0: Tools for Data Harmonization - diffify
{fixes} 0.4.1: Tools for Creating and Visualizing Fixed-Effects Event Study Models - diffify
{autocogs} 0.1.5: Automatic Cognostic Summaries - diffify
{shadowtext} 0.1.5: Shadow Text Grob and Layer - diffify
{ggtangle} 0.0.7: Draw Network with Data - diffify
{difNLR} 1.5.1-4: DIF and DDF Detection by Non-Linear Regression Models - diffify
{ctsem} 3.10.4: Continuous Time Structural Equation Modelling - diffify
{spls} 2.3-2: Sparse Partial Least Squares (SPLS) Regression and Classification - diffify
{riskdiff} 0.2.1: Risk Difference Estimation with Multiple Link Functions and Inverse Probability of Treatment Weighting - diffify
{portalr} 0.4.4: Create Useful Summaries of the Portal Data - diffify
{MECfda} 0.2.1: Scalar-on-Function Regression with Measurement Error Correction - diffify
{GeDS} 0.3.3: Geometrically Designed Spline Regression - diffify
{EIAapi} 0.2.0: Query Data from the ‘EIA’ API - diffify
{Rsolnp} 2.0.1: General Non-Linear Optimization - diffify
{ggghost} 0.2.3: Capture the Spirit of Your ‘ggplot2’ Calls - diffify
{Docovt} 0.2: Distributed Online Covariance Matrix Tests - diffify
{spcosa} 0.4-4: Spatial Coverage Sampling and Random Sampling from Compact Geographical Strata - diffify
{doBy} 4.7.0: Groupwise Statistics, LSmeans, Linear Estimates, Utilities - diffify
{robreg3S} 0.3-1: Three-Step Regression and Inference for Cellwise and Casewise Contamination - diffify
{plotdap} 1.1.0: Easily Visualize Data from ‘ERDDAP™’ Servers via the ‘rerddap’ Package - diffify
{tclust} 2.1-2: Robust Trimmed Clustering - diffify
{scan} 0.65.0: Single-Case Data Analyses for Single and Multiple Baseline Designs - diffify
{libdeflate} 1.24-4: DEFLATE Compression and Static Library - diffify
{scplot} 0.6.0: Plot Function for Single-Case Data Frames - diffify
{harbinger} 1.2.727: A Unified Time Series Event Detection Framework - diffify
{grpSLOPE} 0.3.4: Group Sorted L1 Penalized Estimation - diffify
{daltoolboxdp} 1.2.727: Python-Based Extensions for Data Analytics Workflows - diffify
{TraMineR} 2.2-12: Trajectory Miner: a Sequence Analysis Toolkit - diffify
{ddplot} 0.0.2: Create D3 Based SVG Graphics - diffify
{JFE} 2.5.11: Tools for Analyzing Time Series Data of Just Finance and Econometrics - diffify
{ExtremalDep} 0.0.4-5: Extremal Dependence Models - diffify
{wordmap} 0.9.4: Feature Extraction and Document Classification with Noisy Labels - diffify
{webmockr} 2.1.0: Stubbing and Setting Expectations on ‘HTTP’ Requests - diffify
{alternativeROC} 1.0.0: Alternative and Fast ROC Analysis - diffify
CRANberries NEW:
{viralx} 1.3.1: Explainers for Regression Models in HIV Research
{semEffect} 1.2.3: Structural Equation Model Effect Analysis and Visualization
{hmde} 1.2.1: Hierarchical Methods for Differential Equations
{BayesBrainMap} 0.1.3: Estimate Brain Networks and Connectivity with Population-Derived Priors
{HaDeX} 1.2.3: Analysis and Visualisation of Hydrogen/Deuterium Exchange Mass Spectrometry Data
{ttScreening} 1.7: Genome-Wide DNA Methylation Sites Screening by Use of Training and Testing Samples
{tabr} 0.5.3: Music Notation Syntax, Manipulation, Analysis and Transcription in R
{LongDecompHE} 0.1.0: Longitudinal Decomposition of Health Expectancy by Age and Cause
{contdid} 0.1.0: Difference-in-Differences with a Continuous Treatment
{ciflyr} 0.1.1: Reachability-Based Primitives for Graphical Causal Inference
{rbioapi} 0.8.3: User-Friendly R Interface to Biologic Web Services’ API
{MSclassifR} 0.4.0: Automated Classification of Mass Spectra
{fishboot} 1.0.2: Bootstrap-Based Methods for the Study of Fish Stocks and Aquatic Populations
{unifyR} 1.0.0: Unified Scores, Reliabilities and Validities from Multiple Tests
{rcrisp} 0.1.4: Automate the Delineation of Urban River Spaces
{r4pde} 0.1.0: Companion to R for Plant Disease Epidemiology Book
{pwSEM} 1.0.0: Piecewise Structural Equation Modelling
{autograph} 0.1.2: Automatic Plotting of Many Graphs
{FKmL} 0.1.1: Fréchet Distance-Based K-Means and Extensions for Longitudinal Data
{libimath} 3.1.9-4: ‘Imath’ Computer Graphics Linear Algebra Static Library
{distfreereg} 1.1: Distribution-Free Goodness-of-Fit Testing for Regression
{kinesis} 0.2.0: ‘shiny’ Applications for the ‘tesselle’ Packages
{gilmour} 0.1.0: The Interpretation of Adjusted Cp Statistic
{cgaim} 1.0.2: Constrained Groupwise Additive Index Models
{vecvec} 0.1.0: Construct Mixed Type Data Structures with Vectors of Vectors
{SimBaRepro} 0.1.0: Simulation-Based, Finite-Sample Inference via Repro Samples
{GJRM.data} 0.1-1: Data Sets for Copula Additive Distributional Regression Using R
{ecoteach} 0.1.0: Educational Datasets for Ecology and Agriculture «««< HEAD

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{MultiLCIRT} 2.12: Multidimensional Latent Class Item Response Theory Models
{smvr} 0.1.0: Simple Implementation of Semantic Versioning
{gemR} 1.2.1: General Effect Modelling
{ClimaRep} 0.6: Estimating Climate Representativeness
{clampSeg} 1.2-0: Idealisation of Patch Clamp Recordings
{BayesRegDTR} 1.0.1: Bayesian Regression for Dynamic Treatment Regimes
{avseqmc} 1.0.1: Anytime-Valid Sequential Estimation of Monte-Carlo p-Values
{safeframe} 1.0.0: Generic Data Tagging and Validation Tool
{REMixed} 0.1.0: Regularized Estimation in Mixed Effect Model
{mdsOpt} 0.7-7: Searching for Optimal MDS Procedure for Metric and Interval-Valued Data
{detectXOR} 0.1.0: XOR Pattern Detection and Visualization
{oppr} 1.0.5: Optimal Project Prioritization
{symbolicDA} 0.7-2: Analysis of Symbolic Data
{scMappR} 1.0.12: Single Cell Mapper
{MAPCtools} 0.1.0: Multivariate Age-Period-Cohort (MAPC) Modeling for Health Data
{kvkapiR} 0.1.2: Interface to the Dutch Chamber of Commerce (KvK) API
{imageRy} 0.1.1: Modify and Share Images
{HOIFCar} 0.2.1: Covariate Adjustment in RCT by Higher-Order Influence Functions
{m2b} 1.1.0: Movement to Behaviour Inference using Random Forest
{GOCompare} 1.0.2.2: Comprehensive GO Terms Comparison Between Species
{psgp} 0.3-22: Projected Spatial Gaussian Process Methods
{neotoma2} 1.0.6: Working with the Neotoma Paleoecology Database
{limSolve} 2.0.1: Solving Linear Inverse Models
{abn} 3.1.9: Modelling Multivariate Data with Additive Bayesian Networks
{notionR} 0.0.9: R Wrapper for ‘Notion’ API
{ggmRSCU} 0.1.0: Visualizing Multi-Species Relative Synonymous Codon Usage and Extensible Data Exploration
{boilerplate} 1.3.0: Managing and Compiling Manuscript Templates
{aamatch} 0.3.7: Artless Automatic Multivariate Matching for Observational Studies
{vitals} 0.1.0: Large Language Model Evaluation
{paddleR} 0.1.2: Wrapper for ‘Paddle’ API (Application Programming Interface)
{OpenBARD} 0.0.1: Open British Arboricultural Record Dataset
{movedesign} 0.3.1: Study Design Toolbox for Movement Ecology Studies
{fastpolicytree} 1.0: Constructs Policy Trees from Covariate and Reward Data
{NMRphasing} 1.0.7: Phase Error Correction and Baseline Correction for One Dimensional (‘1D’) ‘NMR’ Data
{libdeflate} 1.24-3: DEFLATE Compression and Static Library Mixtures
{ManyIVsNets} 0.1.1: Environmental Phillips Curve Analysis with Multiple Instrumental Variables and Networks
{DNAmf} 0.1.0: Diffusion Non-Additive Model with Tunable Precision
{slopes} 1.0.1: Calculate Slopes of Roads, Rivers and Trajectories
{SelfControlledCaseSeries} 6.0.0: Self-Controlled Case Series
{SCE} 1.0.0: Stepwise Clustered Ensemble
{neutroSurvey} 0.1.0: Neutrosophic Survey Data Analysis
{MinTriadic} 1.0.0: Extension to the ‘Lolog’ Package for ‘Triadic’ Network Statistics
{midr} 0.5.0: Learning from Black-Box Models by Maximum Interpretation Decomposition
{letsHerp} 0.1.0: An Interface to the Reptile Database
{kerdiest} 1.3-1: Nonparametric Kernel Estimation of Distribution Function
{clinpubr} 1.0.1: Clinical Publication
{FLSSS} 9.2.8: Mining Rigs for Problems in the Subset Sum Family

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