RSS POSTS: ##
tl 0.0.2 on CRAN: First Update Long term economic growth rates by @ellis2013nz FOSS Tools for Lazy Editors rOpenSci News Digest, June 2026 Machine learning meets reality: Forecast evaluation for the 2026 FIFA World Cup Navigating Challenges in Spatial Machine Learning Rethinking Validation for Spatial Machine Learning: Takeaways from the Talk Working with non-tabular files mapsf.gui: a shiny app to make maps with R What Is an AI Agent? Skills, MCP, and Harnesses Explained Testing Your Plumber APIs from R May 2026 Top 40 New CRAN Packages posit::glimpse() Newsletter – July 2026 watcher 0.2.0: filesystem watching for R, and the engine behind Shiny auto-reload Five things (July 2, 2026): AIxBio, NIH, QED Test Driving Claude Science A Claude skill for pre-submission peer review {territorial}: un paquete de R para trabajar con datos de comunas y regiones de ChileCRANberries UPDATED:
{rstatix} 1.0.0 : Pipe-Friendly Framework for Basic Statistical Tests - diffify {neonSoilFlux} 4.0.1 : Compute Soil Carbon Fluxes for the National Ecological
Observatory Network Sites - diffify {FinePop2} 0.6 : Fine-Scale Population Analysis (Rewrite for
Gene-Trait-Environment Interaction Analysis) - diffify {COVID19} 3.0.4 : R Interface to COVID-19 Data Hub - diffify {optedr} 3.0.1 : Calculating Optimal and D-Augmented Designs for Single- and
Multi-Factor Models - diffify {GenericML} 0.2.3 : Generic Machine Learning Inference - diffify {BFS} 0.7.2 : Get Data from the Swiss Federal Statistical Office - diffify {munsellinterpol} 3.4-0 : Interpolate Munsell Renotation Data from Hue Value/Chroma to
CIE/RGB - diffify {explor} 0.3.11 : Interactive Interfaces for Results Exploration - diffify {CBTF} 0.7.0 : Caught by the Fuzz! - A Minimalistic Fuzz-Test Runner - diffify {splitGraph} 0.3.0 : Dataset Dependency Graphs for Leakage-Aware Evaluation - diffify {bacenR} 0.4.4 : Access Data from Brazilian Central Bank: IFdata, Active
Institutions, Balance Sheets and Normative Acts - diffify {actuaRE} 1.0.1 : Handling Single-Level and Hierarchically Structured Risk Factors
using Credibility and Random Effects Models - diffify {hsphase} 3.0.1 : Phasing, Pedigree Reconstruction, Sire Imputation and
Recombination Events Identification of Half-sib Families Using
SNP Data - diffify {rjd3jars} 0.0.4 : External jars for ‘rjdverse’ R Packages - diffify {saqgetr} 0.2.24 : Import Air Quality Monitoring Data in a Fast and Easy Way - diffify {reaborn} 1.0.1 : Statistical Data Visualization, the ‘seaborn’ Way - diffify {mixor} 1.0.7 : Mixed-Effects Ordinal Regression Analysis - diffify {lfl} 2.4.0 : Linguistic Fuzzy Logic - diffify {gscramble} 1.0.2 : Simulating Admixed Genotypes Without Replacement - diffify {geslaR} 1.0-3 : Get and Manipulate the GESLA Dataset - diffify {DGEAR} 0.2.1 : Differential Gene Expression Analysis with R - diffify {cohortBuilder} 1.0.0 : Data Source Agnostic Filtering Tools - diffify {GRAB} 0.2.5 : Genome-Wide Robust Analysis for Biobank Data (GRAB) - diffify {tinyplot} 0.7.0 : Lightweight Extension of the Base R Graphics System - diffify {dtgiw} 1.1.0 : Discrete Transmuted Generalized Inverse Weibull Distribution - diffify {CohortSurvival} 1.1.2 : Estimate Survival from Common Data Model Cohorts - diffify {semanticfa} 0.1.1 : Semantic Factor Analysis of Language Model Embeddings - diffify {RRPP} 2.2.0 : Linear Model Evaluation with Randomized Residuals in a
Permutation Procedure - diffify {GET} 1.0-8 : Global Envelopes - diffify {GenOrd} 2.1.0 : Simulation of Discrete Random Variables with Marginal
Distributions and Correlation Matrix and via a Gaussian or
Student’s t Copula - diffify {frontmatter} 0.3.0 : Parse Front Matter from Documents - diffify {rerddap} 1.3.0 : General Purpose Client for ‘ERDDAP™’ Servers - diffify {rdwd} 1.9.17 : Select and Download Climate Data from ‘DWD’ (German Weather
Service) - diffify {quantregForest} 1.4-0 : Quantile Regression Forests - diffify {openalexR} 3.1.0 : Getting Bibliographic Records from ‘OpenAlex’ Database Using
‘DSL’ API - diffify {modsem} 1.0.21 : Latent Interaction (and Moderation) Analysis in Structural
Equation Models (SEM) - diffify {gsDesign} 3.10.0 : Group Sequential Design - diffify {ggseg} 2.2.1 : Plotting Tool for Brain Atlases - diffify {DrugUtilisation} 1.2.1 : Summarise Patient-Level Drug Utilisation in Data Mapped to the
OMOP Common Data Model - diffify {ColombiAPI} 0.4.0 : Access Colombian Data via APIs and Curated Datasets - diffify {ChileDataAPI} 0.3.0 : Access Chilean Data via APIs and Curated Datasets - diffify {teal.modules.clinical} 0.13.0 : ‘teal’ Modules for Standard Clinical Outputs - diffify {openxlsx2} 1.28 : Read, Write and Edit ‘xlsx’ Files - diffify {neonUtilities} 4.0.1 : Utilities for Working with NEON Data - diffify {dcortools} 0.2.0 : Providing Fast and Flexible Functions for Distance Correlation
Analysis - diffify {tidytree} 0.4.8 : A Tidy Tool for Phylogenetic Tree Data Manipulation - diffify {teal.slice} 0.8.1 : Filter Module for ‘teal’ Applications - diffify {mcptools} 1.0.0 : Model Context Protocol Servers and Clients - diffify {ggpp} 0.6.1 : Grammar Extensions to ‘ggplot2’ - diffify {ggfun} 0.2.1 : Miscellaneous Functions for ‘ggplot2’ - diffify {FactoMineR} 2.16 : Multivariate Exploratory Data Analysis and Data Mining - diffify {csdata} 2026.7.2 : Structural Data for Norway - diffify {Compind} 3.5 : Composite Indicators Functions - diffify {circumplex} 1.2.0 : Analysis and Visualization of Circular Data - diffify {BSL} 3.2.6 : Bayesian Synthetic Likelihood - diffify {BrazilDataAPI} 0.3.0 : Access Brazilian Data via APIs and Curated Datasets - diffify {arsenal} 3.7.1 : An Arsenal of ‘R’ Functions for Large-Scale Statistical
Summaries - diffify {VARcpDetectOnline} 0.2.1 : Sequential Change Point Detection for High-Dimensional VAR
Models - diffify {uaparserjs} 0.4.0 : Parse ‘User-Agent’ Strings - diffify {shades} 1.5.0 : Simple Colour Manipulation - diffify {scatterD3} 1.0.2 : D3 JavaScript Scatterplot from R - diffify {RBesT} 1.10-0 : R Bayesian Evidence Synthesis Tools - diffify {ratesci} 1.1.0 : Confidence Intervals and Tests for Comparisons of Binomial
Proportions or Poisson Rates - diffify {okf} 0.7.0 : Open Knowledge Format (OKF) Ingestion - diffify {admixr2} 0.2.0 : Aggregate Data Modelling - diffify {btw} 1.3.0 : A Toolkit for Connecting R and Large Language Models - diffify {ggseg3d} 2.1.2 : Interactive 3D Brain Atlas Visualization - diffify {SCEM} 1.2.0 : Splitting-Coalescence-Estimation Method - diffify {metaboData} 0.6.4 : Example Metabolomics Data Sets - diffify {EconGeo} 2.1 : Computing Key Indicators of the Spatial Distribution of Economic
Activities - diffify {tidyfinance} 0.8.0 : Tidy Finance Helper Functions - diffify {ggRandomForests} 3.4.0 : Visually Exploring Random Forests - diffify {harmonydata} 0.3.2 : R Library for ‘Harmony’ - diffify {covercorr} 1.1.0 : Coverage Correlation Coefficient and Testing for Independence - diffify {mlr3fda} 0.7.0 : Extending ‘mlr3’ to Functional Data Analysis - diffify {clinicalomicsdbR} 1.0.6 : Interface with the ‘ClinicalOmicsDB’ API, Allowing for Easy Data
Downloading and Importing - diffify {BKP} 0.3.0 : Beta Kernel Process Modeling - diffify {serpstatr} 0.4.3 : ‘Serpstat’ API Wrapper - diffify {pdi} 0.4.3 : Phenotypic Index Measures for Oak Decline Severity - diffify {okcolors} 0.1.2 : A Set of Color Palettes Inspired by OK Go Music Videos for
‘ggplot2’ in R - diffify {netmhc2pan} 1.3.3 : Interface to ‘NetMHCIIpan’ - diffify {metamer} 0.3.1 : Create Data with Identical Statistics - diffify {ggseg.formats} 0.0.4 : Brain Atlas Data Structures for the ‘ggsegverse’ Ecosystem - diffify {ggperiodic} 1.0.4 : Easy Plotting of Periodic Data with ‘ggplot2’ - diffify {bedrockbio} 2.0.0 : Open-Access Computational Biology Datasets - diffify {muiMaterial} 0.2.2 : ‘Material UI’ for ‘shiny’ Apps and ‘Quarto’ - diffify {maestro} 1.2.0 : Orchestration of Data Pipelines - diffify {finbif} 0.10.0 : Interface for the ‘Finnish Biodiversity Information Facility’
API - diffify {faunabr} 1.1.0 : Explore Catálogo Taxônomico da Fauna do Brasil Database - diffify {duckspatial} 1.2.0 : R Interface to ‘DuckDB’ Database with Spatial Extension - diffify {brulee} 1.1.0 : High-Level Modeling Functions with ‘torch’ - diffify {cppally} 1.0.0 : A ‘C++20’ API for R - diffify {wideRhino} 1.2.0 : High-Dimensional Methods via Generalised Singular Decomposition - diffify {robmixglm} 1.2-8 : Robust Generalized Linear Models (GLM) using Mixtures - diffify {powerbrmsINLA} 1.3.0 : Bayesian Power Analysis Using ‘brms’ and ‘INLA’ - diffify {OBIC} 4.3.0 : Calculate the Open Bodem Index (OBI) Score - diffify {spdesign} 0.0.6 : Designing Stated Preference Experiments - diffify {SPARTAAS} 1.2.6 : Statistical Pattern Recognition and daTing using Archaeological
Artefacts assemblageS - diffify {resmush} 1.0.2 : Optimize and Compress Image Files with ‘reSmush.it’ - diffify {MAIHDA} 0.2.0 : Multilevel Analysis of Individual Heterogeneity and
Discriminatory Accuracy - diffify {treeSS} 0.2.4 : Tree-Spatial Scan Statistic for Cluster Detection - diffify {TemporalModelR} 0.3.0 : Temporally Explicit Species Distribution Modelling - diffify {statease} 1.3.0 : Simplified Statistical Analysis with Plain-English
Interpretation - diffify {pdfsigner} 0.2.5 : Digitally Sign and Verify PDF Documents - diffify {mathml} 1.9 : Translate R Expressions to ‘MathML’ and ‘LaTeX’/’MathJax’ - diffify {madrat} 3.37.1 : May All Data be Reproducible and Transparent (MADRaT) * - diffify {llamaR} 0.2.5 : Interface for Large Language Models via ‘llama.cpp’ - diffify {landmaRk} 0.1.3 : Time-to-Event Landmark Analysis using an Array of Longitudinal
and Survival Sub-Models - diffify {janusplot} 0.1.1 : Asymmetric Smoothed-Association Matrices via GAM Fits - diffify {grmtree} 0.2.0 : Recursive Partitioning for Graded Response Models - diffify {gatoRs} 2.0.0 : Geographic and Taxonomic Occurrence R-Based Scrubbing - diffify {basifoR} 0.7.8 : Retrieval and Processing of the Spanish National Forest
Inventory - diffify {survkl} 1.0.2 : Estimate Survival Data with Data Integration - diffify {RobinCar2} 0.2.3 : ROBust INference for Covariate Adjustment in Randomized Clinical
Trials - diffify {kindling} 0.3.1 : Higher-Level Interface of ‘torch’ Package to Auto-Train Neural
Networks - diffify {DSIR} 0.8.0 : Data Science Infrastructure for Global Health - diffify {ChinAPIs} 0.2.0 : Access Chinese Data via Public APIs and Curated Datasets - diffify {SVEMnet} 3.2.3 : Self-Validated Ensemble Models with Lasso and Relaxed Elastic
Net Regression - diffify {Rdrw} 1.0.3 : Univariate and Multivariate Damped Random Walk Processes - diffify {DegreeDayCalc} 0.1.1 : Degree-Day Phenology Calculator (‘shiny’ Application) - diffify {strollur} 0.1.3 : Store and Transfer Amplicon Sequence Data - diffify {LifeTableFertility} 0.1.1 : ‘shiny’ Application for Life Table and Fertility Analysis - diffify {LifeTableBuilder} 0.1.3 : Interactive ‘shiny’ Application for Constructing Life Tables - diffify {FoRDM} 1.0.3 : Forest Many-Objective Robust Decision Making (‘FoRDM’) - diffify {serad} 0.2.2 : Standardized Economic Reporting and Automated Dynamic Writing /
Synthèse d’Écrits Avec des Règles Automatisées et Dynamiques - diffify {phoenics} 0.6.1 : Pathways Longitudinal and Differential Analysis in Metabolomics - diffify {normalize} 0.1.3 : Centering and Scaling of Numeric Data - diffify {movegroup} 2026.07.01 : Visualizing and Quantifying Space Use Data for Groups of Animals - diffify {MexicoDataAPI} 0.3.0 : Access Mexican Data via APIs and Curated Datasets - diffify {asympDiag} 0.3.3 : Diagnostic Tools for Asymptotic Theory - diffify {artoo} 0.1.2 : Lossless CDISC-Native Input and Output for Clinical Datasets - diffify {AIscreenR} 0.4.0 : AI Screening Tools in R for Systematic Reviewing - diffify {a5R} 0.5.0 : ‘A5’ Discrete Global Grid System - diffify {srlars} 3.0.1 : Fast and Scalable Cellwise-Robust Ensemble - diffify {Rlabkey} 3.5.0 : Data Exchange Between R and ‘LabKey’ Server - diffify {nanonext} 1.10.0 : Lightweight Toolkit for Messaging, Concurrency and the Web - diffify {ife} 0.2.5 : Autodiff for Influence Function Based Estimates - diffify {OUwie} 3.0.2 : Analysis of Evolutionary Rates in an OU Framework - diffify {MCseqReplic} 1.1.0 : Monte Carlo Simulations of Time Changes in Sequences - diffify {releaser} 1.2.0 : Help with Preparing a New Version of an R Package - diffify {peopleanalyticsdata} 0.2.2 : Data Sets for Keith McNulty’s Handbook of Regression Modeling in
People Analytics - diffify {mlt} 1.8-1 : Most Likely Transformations - diffify {ArchaeoPhases} 2.1.1 : Post-Processing of Markov Chain Monte Carlo Simulations for
Chronological Modelling - diffify {pharmaversesdtm} 1.5.0 : SDTM Test Data for the ‘Pharmaverse’ Family of Packages - diffify {orthanc} 0.3.0 : Programmatic Interface to ‘Orthanc’ DICOM Servers - diffify {OpenLand} 1.0.4 : Quantitative Analysis and Visualization of LUCC - diffify {rtemis} 1.2.7 : Machine Learning and Visualization - diffify {pathfindR} 3.0.2 : Enrichment Analysis Utilizing Active Subnetworks - diffify {multiScaleR} 0.7.0 : Methods for Optimizing Scales of Effect - diffify {gson} 0.2.0 : Base Class and Methods for ‘gson’ Format - diffify {fastkqr} 1.0.1 : A Fast Algorithm for Kernel Quantile Regression - diffify {enrichit} 0.2.0 : ‘C++’ Implementations of Functional Enrichment Analysis - diffify {caretEnsemble} 4.0.2 : Ensembles of Caret Models - diffify {jmotif} 1.3.0 : Time Series Analysis Toolkit Based on Symbolic Aggregate
Discretization, i.e. SAX - diffify {HAMMER} 1.1 : High-Dimensional Factor-Analytic Representation Modeling and
Metrics - diffify {popEpi} 0.5.0 : Functions for Epidemiological Analysis using Population Data - diffify {mets} 1.3.11 : Analysis of Multivariate Event Times - diffify {vectra} 0.9.8 : Columnar Query Engine for Larger-than-RAM Data - diffify {structenforcement} 0.3.1 : Struct-Like Data Type Checking and Enforcement - diffify {doBy} 4.7.2 : Groupwise Statistics, LSmeans, Linear Estimates, Utilities - diffify {teal.modules.general} 0.7.0 : General Modules for ‘teal’ Applications - diffify {surveillance} 1.26.0 : Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic
Phenomena - diffify {statgenHTP} 1.0.9.3 : High Throughput Phenotyping (HTP) Data Analysis - diffify {PRISMA2020} 1.1.4 : Make Interactive ‘PRISMA’ Flow Diagrams - diffify {s20x} 3.3.0 : Functions for University of Auckland Course STATS 201/208 Data
Analysis - diffify {Rook} 1.2.1 : HTTP Web Server for R - diffify {RMTstat} 0.3.2 : Distributions, Statistics and Tests Derived from Random Matrix
Theory - diffify {tinyVAST} 1.6.1 : Multivariate Spatio-Temporal Models using Structural Equations - diffify {Slick} 1.0.2 : Interactive Visualization of MSE Results - diffify {RSQLite} 3.53.3 : SQLite Interface for R - diffify {jgd} 0.1.1 : JSON Graphics Device - diffify {unvs.med} 1.1.1 : A Universal Approach for Causal Mediation Analysis - diffify {gsDesign2} 1.1.9 : Group Sequential Design with Non-Constant Effect - diffify {dtsmartr} 0.2.0 : Interactive Virtualized Data Explorer Grid Widget - diffify {mwcsr} 0.1.12 : Solvers for Maximum Weight Connected Subgraph Problem and Its
Variants - diffify {SlimR} 1.1.6 : Adaptive Machine Learning-Powered, Context-Matching Tool for
Single-Cell and Spatial Transcriptomics Annotation - diffify {rATTAINS} 1.2.0 : Access EPA ‘ATTAINS’ Data - diffify {portion} 0.1.3 : Extracting a Data Portion - diffify {NNS} 13.0 : Nonlinear Nonparametric Statistics - diffify {lmm} 1.5 : Linear Mixed Models - diffify {Tplyr} 1.3.3 : A Traceability Focused Grammar of Clinical Data Summary - diffify {tl} 0.0.2 : Tiny Logging Interface to ‘rspdlite’ Wrapping ‘spdlite’ C++20
Logging - diffify {stochtree} 0.4.5 : Stochastic Tree Ensembles (XBART and BART) for Supervised
Learning and Causal Inference - diffify {rchemo} 0.1-4 : Dimension Reduction, Regression and Discrimination for
Chemometrics - diffify {lsirm12pl} 2.0.3 : Latent Space Item Response Model - diffify {lava} 1.9.2 : Latent Variable Models - diffify {BayesERtools} 0.2.7 : Bayesian Exposure-Response Analysis Tools - diffify {cicalc} 0.2.2 : Calculate Confidence Intervals - diffify {limSolve} 2.0.3 : Solving Linear Inverse Models - diffify {LBBNN} 0.1.6 : Latent Binary Bayesian Neural Networks Using ‘torch’ - diffify {GeoModels} 2.2.5 : Procedures for Gaussian and Non Gaussian Geostatistical (Large)
Data Analysis - diffify {dvir} 3.4.2 : Disaster Victim Identification - diffify {blocking} 1.0.3 : Various Blocking Methods for Entity Resolution - diffify {teal.widgets} 0.6.1 : ‘shiny’ Widgets for ‘teal’ Applications - diffify {teal} 1.2.0 : Exploratory Web Apps for Analyzing Clinical Trials Data - diffify {soilKey} 0.9.157 : Automated Soil Profile Classification per WRB 2022, ‘SiBCS’ 5
and USDA Soil Taxonomy 13 - diffify {seminrExtras} 1.0.2 : Conduct Additional Modeling and Analysis for ‘seminr’ - diffify {ream} 1.0-12 : Density, Distribution, and Sampling Functions for Evidence
Accumulation Models - diffify
CRANberries NEW:
{panelbuild} 0.1.0 : Panel Data Auditing, Validation, and Preparation Tools{crawlee} 0.1.0 : Tidy Interface for Reproducible Web Crawling{canpumf} 0.5.2 : Parse StatCan PUMF Files{TestREnlme} 0.1.0 : Nonparametric Tests for Random Effects in Linear and Nonlinear
Mixed-Effects Models{jpmap} 0.1.3 : Japan Maps with Insets for Okinawa and Ogasawara{HomeRangeR} 0.1.0 : Predict Vertebrate Home-Range Sizes Using Allometric Models{cyclicwave} 0.1.0 : Cyclic Wave Analysis for Time-Series Clustering{parcxl} 0.1.0 : Fast Formula Stripping and Exporting Excel Sheets to Separate
Files{testflow} 0.8.2 : A Workflow for Statistical Testing, Interpretation, and
‘ggplot2’-Based Visualization{SDALGCP2} 0.1.0 : Fast Spatially Discrete Approximation to Log-Gaussian Cox
Processes for Aggregated Disease Count Data{peeky} 0.1.0 : Download and Extract ‘shinylive’ Applications{mixedsubjects} 1.0.0 : Causal Inference in Experiments with Mixed-Subjects Designs{mergersim} 0.1.0 : Merger Simulation and Calibration{deaviz} 0.1.0 : Visualization of Data Envelopment Analysis Problems{checktor} 0.1.0 : Extra CRAN Submission Checks{araponga} 1.0.1 : Estimate 3D Orientations from 2D Landmarks{apifetch} 0.1.0 : Token-Authenticated REST API Retrieval Toolkit{trackclean} 0.1.0 : Tools for Cleaning High-Frequency Real-Time Location Tracking
Data{saeHB.Spatial.Beta} 0.1.0 : Small Area Estimation Hierarchical Bayes for Spatial Beta Model{rtransparency} 1.0.0 : Identifies Indicators of Transparency{rfair} 0.1.0 : Assess the FAIRness of Research Data Objects and Software{palsr} 0.1.0 : Projected Actor Locations for Spatial Interaction Modeling{axprism} 0.2.0 : Client for the ‘AxPrism’ Institutional XBRL and Shariah
Compliance API{vbm} 0.1.0 : Variance-Based Sensitivity Analysis for Weighting Estimators{uddbart} 0.2.0 : Unified Dynamic Deep ‘BART’ for Interval-Censored Survival{sportsfeatures} 0.1.0 : Longitudinal Sports Analytics Asset and Workload Feature
Processing{reaborn} 1.0.1 : Statistical Data Visualization, the ‘seaborn’ Way{proximetricsR} 0.6.4 : Spectral Preprocessing and Chemometric Calibration of NIR
Sensors{netify} 1.5.3 : Tools for Network Data Workflows{muse} 0.1.0 : Multiple Unobserved Sources of Error State Space Models{MultiModalR} 1.0.0 : Fast Bayesian Probability Estimation for Multimodal Categorical{icarm} 0.1.0 : Interpretable Contextual-Accountable and Responsible Machine
Learning{evbsreg} 1.0.0 : Local Influence Diagnostics for the Extreme-Value
Birnbaum-Saunders Regression Model{emaxnls} 0.1.1 : Nonlinear Least Squares Estimation for Emax Regression Models{droughtevents} 0.1.0 : Identify and Characterize Drought Events from Drought Index Time
Series{clim4health} 0.1.0 : Post-Processing of Climate Data for Health Applications{lvmPlot} 0.1.0 : Publication-Quality Diagrams for Latent Variable Models{lt} 0.1 : Lightweight Tables via JSON Specs and JavaScript{huggingfaceR} 2.1.0 : Access ‘Hugging Face’ Models and Datasets{fixedCV} 0.1.0 : Fixed-b Critical Values for Robust Inference with Time Series{DAST} 0.1.0 : Spatio-Temporal Disaggregation for Maps with Changing Areal
Boundaries{bitriad} 0.4 : Triadic Analysis of Affiliation Networks{baselinr} 0.5.0 : WWC-Aligned Baseline Equivalence Tables for Education Impact
Evaluations{AutoStrataK} 0.1.4 : Automatic Optimal Stratification for Survey Sampling{ImprintCapASM} 0.1.1 : Allele-Specific Methylation Analysis for Imprinted DMR
Diagnostics{delarr} 0.1.0 : Lazy Delayed Arrays with Fused Execution{SimplexRegression} 0.1.3 : Simplex Regression Models with Parametric or Fixed Mean Link
Functions{seqcomp} 0.1.0 : Sequential Comparison of Probabilistic Forecasts{OptSurvCutR} 0.10.0 : Optimal Survival Cut-Point Discovery for Time-to-Event Analysis
with ‘OptSurvCutR’{NeighborFinder} 1.0.1 : Find Neighbor Species of a Bacteria of Interest in the Human Gut
Microbiota{dicepro} 1.0.2 : Semi-Supervised Deconvolution of Bulk RNA-Seq Data with
Hyperparameter Optimization{clusterIV} 0.1.0 : Clustered Jackknife Instrumental Variables Estimation{caretMultimodal} 1.0.0 : Multimodal Late Fusion with ‘caret’{weightflow} 0.1.0 : Declarative API for Staged Survey Weights{UKBAnalytica} 1.0.0 : UK Biobank Data Processing and Survival Analysis Toolkit{taxify} 0.2.12 : Offline Taxonomic Name Matching Against Local Darwin Core
Snapshots{svmodt} 0.1.0 : Linear SVM-Based Recursive Decision Trees{HVS} 1.0.0 : Hypergraph Variable Selection{GSbench} 0.1.0 : Benchmarking Genomic Selection and Machine-Learning Prediction
Models{GMLTM} 0.1.0 : Generalized Multicomponent Latent Trait Model for Diagnosis{DSGEr} 1.3.1 : Transcriptional Disruption Score for Gene Sets{cp1919} 0.1 : Radio Observations of the Pulse Profiles and Dispersion Measures
of Twelve Pulsars{CbKST} 0.1-0 : Competence-Based Knowledge Space Theory{TemporalModelR} 0.3.0 : Temporally Explicit Species Distribution Modelling{steves} 0.1.1 : Rick Steves’ Europe Episodes for Teaching Data Analysis{porter} 0.1.0 : Generate Port Files for C Libraries{PITS} 0.1.0 : Power of Interrupted Time Series (ITS) Studies{okf} 0.7.0 : Open Knowledge Format (OKF) Ingestion{ernest} 1.2.4 : A Toolkit for Nested Sampling{BioTooltipR} 0.1.0 : Add Bio Tooltips to HTML Reports{shinyReports} 1.0.3 : R Markdown HTML Tab Rendering for Shiny{mapsf.gui} 0.1.0 : Create Thematic Maps Interactively{wompwomp} 0.99.0 : Optimizing Alluvial Plots{R2camtrapdp} 2.0.0 : Convert Camera Trap Dataset to ‘Camtrap DP’{PsychoMatic} 0.3.0 : Automated Psychometric Workflows and Reporting Tools{hubEvals} 0.3.0 : Tools for Scoring and Evaluating Hubverse Model Outputs{fz} 1.1 : R Wrapper for the ‘funz-fz’ Parametric Simulation Framework{ecpromethee} 0.1.0 : EC-PROMETHEE Multi-Criteria Decision Method{amorem} 1.0.0 : Augmented Modelling of Relational Events{gp3tools} 1.0.2 : Import, Inspect, Analyse, and Report Gazepoint GP3 Exports{fibr} 0.1.1 : Prior-Fraction Diagnostics for Hierarchical Models