curatinator_latest.md

RSS POSTS:

• Porting a Shiny App to Observable Framework: Part 1
• RcppFastFloat 0.0.5 on CRAN: New Upstream, Updates
• RProtoBuf 0.4.23 on CRAN: Mulitple Updates
• Flowcharts made easy with the package {flowchart}
• Amazon vs. MicroStrategy
• Mastering Text Processing in Linux: A Beginner’s Guide
• Creating Empty Data Frames in R: A Comprehensive Guide
• Mastering String Functions in C Programming: A Complete Guide for Beginners
• A Complete Guide to Creating Empty Vectors in R: Methods, Best Practices, and Applications
• 3MW (Using AI Functions With R & {ellmer})
• Share Your Shiny Expertise at ShinyConf 2025!
• Efficient CI/CD: Balancing Automation with GxP Compliance
• GxP Compliance as a Byproduct of Modern Statistical Computing Platforms
• Sending e-mails with {blastula}
• 2024 Posit Year in Review
• Some R Conferences for 2025

CRANberries UPDATED:

• {colorrepel} 0.4.1: Repel Visually Similar Colors for Colorblind Users in Various Plots - diffify
• {SpaCCI} 1.0.3: Spatially Aware Cell-Cell Interaction Analysis - diffify
• {Qindex.data} 0.1.3: Data for Package 'Qindex' - diffify
• {mutualinf} 2.0.2: Computation and Decomposition of the Mutual Information Index - diffify
• {evola} 1.0.4: Evolutionary Algorithm - diffify
• {quantities} 0.2.3: Quantity Calculus for R Vectors - diffify
• {s3.resourcer} 1.1.2: S3 Resource Resolver - diffify
• {errors} 0.4.3: Uncertainty Propagation for R Vectors - diffify
• {nlmixr2est} 3.0.3: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines - diffify
• {httr2} 1.1.0: Perform HTTP Requests and Process the Responses - diffify
• {hoardr} 0.5.5: Manage Cached Files - diffify
• {CalibrationCurves} 2.0.4: Calibration Performance - diffify
• {Coxmos} 1.1.0: Cox MultiBlock Survival - diffify
• {MHCtools} 1.5.5: Analysis of MHC Data in Non-Model Species - diffify
• {ftsa} 6.5: Functional Time Series Analysis - diffify
• {ctypesio} 0.1.2: Read and Write Standard 'C' Types from Files, Connections and Raw Vectors - diffify
• {spatstat.geom} 3.3-5: Geometrical Functionality of the 'spatstat' Family - diffify
• {miLAG} 1.0.5: Calculates Microbial Lag Duration (on the Population Level) from Provided Growth Curve Data - diffify
• {lme4breeding} 1.0.50: Relationship-Based Mixed-Effects Models - diffify
• {agriutilities} 1.2.1: Utilities for Data Analysis in Agriculture - diffify
• {eDNAjoint} 0.3: Joint Modeling of Traditional and Environmental DNA Survey Data in a Bayesian Framework - diffify
• {TimeDepFrail} 0.0.1: Time Dependent Shared Frailty Cox Model - diffify
• {rgl} 1.3.17: 3D Visualization Using OpenGL - diffify
• {hypervolume} 3.1.5: High Dimensional Geometry, Set Operations, Projection, and Inference Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls - diffify
• {NatureSounds} 1.0.5: Animal Sounds for Bioacustic Analysis - diffify
• {TH.data} 1.1-3: TH's Data Archive - diffify
• {sts} 1.3: Estimation of the Structural Topic and Sentiment-Discourse Model for Text Analysis - diffify
• {PhenotypeR} 0.1.1: Assess Study Cohorts Using a Common Data Model - diffify
• {handwriter} 3.2.4: Handwriting Analysis in R - diffify
• {visualFields} 1.0.7: Statistical Methods for Visual Fields - diffify
• {matsbyname} 0.6.11: An Implementation of Matrix Mathematics that Respects Row and Column Names - diffify
• {ontologics} 0.7.4: Code-Logics to Handle Ontologies - diffify
• {basefun} 1.2-1: Infrastructure for Computing with Basis Functions - diffify
• {MultiscaleDTM} 0.9: Multi-Scale Geomorphometric Terrain Attributes - diffify
• {gslnls} 1.4.1: GSL Multi-Start Nonlinear Least-Squares Fitting - diffify
• {grates} 1.4.0: Grouped Date Classes - diffify
• {gmresls} 0.2.3: Solve Least Squares with GMRES(k) - diffify
• {cherry} 0.6-15: Multiple Testing Methods for Exploratory Research - diffify
• {bayestestR} 0.15.1: Understand and Describe Bayesian Models and Posterior Distributions - diffify
• {anticlust} 0.8.9: Subset Partitioning via Anticlustering - diffify
• {warbleR} 1.1.34: Streamline Bioacoustic Analysis - diffify
• {scam} 1.2-18: Shape Constrained Additive Models - diffify
• {SAMprior} 2.0.0: Self-Adapting Mixture (SAM) Priors - diffify
• {rlang} 1.1.5: Functions for Base Types and Core R and 'Tidyverse' Features - diffify
• {plm} 2.6-5: Linear Models for Panel Data - diffify
• {gld} 2.6.7: Estimation and Use of the Generalised (Tukey) Lambda Distribution - diffify
• {CohortConstructor} 0.3.4: Build and Manipulate Study Cohorts Using a Common Data Model - diffify
• {shinyscholar} 0.2.3: A Template for Creating Reproducible 'shiny' Applications - diffify
• {lrstat} 0.2.12: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond - diffify
• {georob} 0.3-22: Robust Geostatistical Analysis of Spatial Data - diffify
• {rms} 7.0-0: Regression Modeling Strategies - diffify
• {pvda} 0.0.4: Disproportionality Functions for Pharmacovigilance - diffify
• {LLMR} 0.1.2: Interface for Large Language Model APIs in R - diffify
• {autoslider.core} 0.2.3: Slide Automation for Tables, Listings and Figures - diffify
• {spacesXYZ} 1.4-0: CIE XYZ and some of Its Derived Color Spaces - diffify
• {tern} 0.9.7: Create Common TLGs Used in Clinical Trials - diffify
• {glmnetr} 0.5-5: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models - diffify
• {systemfonts} 1.2.0: System Native Font Finding - diffify
• {gcplyr} 1.11.0: Wrangle and Analyze Growth Curve Data - diffify
• {OmopSketch} 0.2.1: Characterise Tables of an OMOP Common Data Model Instance - diffify
• {mirai} 2.0.1: Minimalist Async Evaluation Framework for R - diffify
• {epiworldR} 0.6.0.0: Fast Agent-Based Epi Models - diffify
• {bench} 1.1.4: High Precision Timing of R Expressions - diffify
• {webmap} 1.1.1: Create Interactive Web Maps Using 'The National Map' Services - diffify
• {eq5d} 0.15.6: Methods for Analysing 'EQ-5D' Data and Calculating 'EQ-5D' Index Scores - diffify
• {amadeus} 1.2.3: Accessing and Analyzing Large-Scale Environmental Data - diffify
• {spdep} 1.3-9: Spatial Dependence: Weighting Schemes, Statistics - diffify
• {solaR2} 0.11: Radiation and Photovoltaic Systems - diffify
• {sketchy} 1.0.5: Create Custom Research Compendiums - diffify
• {secretbase} 1.0.4: Cryptographic Hash, Extendable-Output and Base64 Functions - diffify
• {soilDB} 2.8.7: Soil Database Interface - diffify
• {pak} 0.8.0.1: Another Approach to Package Installation - diffify
• {gridpattern} 1.3.1: 'grid' Pattern Grobs - diffify
• {raster} 3.6-31: Geographic Data Analysis and Modeling - diffify
• {pkgbuild} 1.4.6: Find Tools Needed to Build R Packages - diffify
• {ern} 2.1.2: Effective Reproduction Number Estimation - diffify
• {segtest} 1.0.2: Tests for Segregation Distortion in Polyploids - diffify
• {admiralpeds} 0.2.0: Pediatrics Extension Package for ADaM in 'R' Asset Library - diffify
• {mlr3viz} 0.10.1: Visualizations for 'mlr3' - diffify
• {endogeneity} 2.1.4: Recursive Two-Stage Models to Address Endogeneity - diffify
• {jmvReadWrite} 0.4.9: Read and Write 'jamovi' Files ('.omv') - diffify
• {bit64} 4.6.0-1: A S3 Class for Vectors of 64bit Integers - diffify
• {unhcrthemes} 0.6.3: UNHCR 'ggplot2' Theme and Colour Palettes - diffify
• {shapr} 1.0.1: Prediction Explanation with Dependence-Aware Shapley Values - diffify
• {isopam} 3.2: Clustering of Sites with Species Data - diffify
• {DrugUtilisation} 0.8.2: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model - diffify
• {BaSTA} 2.0.1: Age-Specific Bayesian Survival Trajectory Analysis from Incomplete Census or Capture-Recapture/Recovery Data - diffify
• {ClimMobTools} 1.4: API Client for the 'ClimMob' Platform - diffify
• {adaR} 0.3.4: A Fast 'WHATWG' Compliant URL Parser - diffify
• {admiralophtha} 1.2.0: ADaM in R Asset Library - Ophthalmology - diffify
• {randomForestSRC} 3.3.3: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) - diffify
• {mlr3fselect} 1.3.0: Feature Selection for 'mlr3' - diffify
• {drda} 2.0.5: Dose-Response Data Analysis - diffify
• {cjar} 0.2.0: R Client for 'Customer Journey Analytics' ('CJA') API - diffify
• {bittermelon} 2.1.1: Bitmap Tools - diffify
• {stacking} 0.2.1: Building Predictive Models with Stacking - diffify
• {IncidencePrevalence} 1.0.0: Estimate Incidence and Prevalence using the OMOP Common Data Model - diffify
• {chooseGCM} 1.0.2: Selecting General Circulation Models for Species Distribution Modeling - diffify
• {bbw} 0.3.0: Blocked Weighted Bootstrap - diffify
• {adobeanalyticsr} 0.5.0: R Client for 'Adobe Analytics' API 2.0 - diffify
• {paramDemo} 1.0.2: Parametric and Non-Parametric Demographic Functions and Applications - diffify
• {chem16S} 1.2.0: Chemical Metrics for Microbial Communities - diffify
• {spacesRGB} 1.7-0: Standard and User-Defined RGB Color Spaces, with Conversion Between RGB and CIE XYZ and Lab - diffify
• {DatabaseConnector} 6.3.3: Connecting to Various Database Platforms - diffify
• {astsa} 2.2: Applied Statistical Time Series Analysis - diffify
• {VisitorCounts} 2.0.3: Modeling and Forecasting Visitor Counts Using Social Media - diffify
• {pgenlibr} 0.4.0: PLINK 2 Binary (.pgen) Reader - diffify
• {OSFD} 3.0: Output Space-Filling Design - diffify
• {echarty} 1.6.6: Minimal R/Shiny Interface to JavaScript Library 'ECharts' - diffify
• {CFtime} 1.5.0: Using CF-Compliant Calendars with Climate Projection Data - diffify
• {rwc} 1.12: Random Walk Covariance Models - diffify
• {ppsbm} 1.0.0: Clustering in Longitudinal Networks - diffify
• {dfeR} 1.0.1: Common Department for Education Analysis Tasks - diffify
• {causact} 0.5.7: Fast, Easy, and Visual Bayesian Inference - diffify
• {accessr} 1.1.1: Command Line Tools to Produce Accessible Documents using 'R Markdown' - diffify
• {visOmopResults} 1.0.0: Graphs and Tables for OMOP Results - diffify
• {RoBMA} 3.3.0: Robust Bayesian Meta-Analyses - diffify
• {MuPETFlow} 0.1.1: Multiple Ploidy Estimation Tool for all Species Compatible with Flow Cytometry - diffify
• {imuf} 0.5.1: Estimate Orientation of an Inertial Measurement Unit - diffify
• {admiral} 1.2.0: ADaM in R Asset Library - diffify
• {fucom} 0.0.3: Full Consistency Method (FUCOM) - diffify
• {RobLox} 1.2.3: Optimally Robust Influence Curves and Estimators for Location and Scale - diffify
• {card.pro} 2.3.0: Lightweight Modern & Responsive Card Component for 'shiny' - diffify
• {vchartr} 0.1.4: Interactive Charts with the 'JavaScript' 'VChart' Library - diffify
• {seqimpute} 2.2.0: Imputation of Missing Data in Sequence Analysis - diffify
• {rD3plot} 1.1.26: Interactive Networks, Timelines, Barplots, Galleries with 'D3.js' - diffify
• {netCoin} 2.1.0: Interactive Analytic Networks - diffify
• {Factoshiny} 2.7: Perform Factorial Analysis from 'FactoMineR' with a Shiny Application - diffify
• {evolMap} 1.3.8: Dynamic and Interactive Maps - diffify
• {funkyheatmap} 0.5.1: Generating Funky Heatmaps for Data Frames - diffify
• {RobExtremes} 1.3.2: Optimally Robust Estimation for Extreme Value Distributions - diffify
• {RobAStRDA} 1.2.2: Interpolation Grids for Packages of the 'RobASt' - Family of Packages - diffify
• {performance} 0.13.0: Assessment of Regression Models Performance - diffify
• {opendataformat} 2.1.2: Reading and Writing Open Data Format Files - diffify
• {ivo.table} 0.6: Nicely Formatted Contingency Tables and Frequency Tables - diffify
• {eks} 1.0.7: Tidy and Geospatial Kernel Smoothing - diffify
• {admiraldev} 1.2.0: Utility Functions and Development Tools for the Admiral Package Family - diffify
• {RcppFastFloat} 0.0.5: 'Rcpp' Bindings for the 'fast_float' Header-Only Library for Number Parsing - diffify
• {pam} 1.0.1: Fast and Efficient Processing of PAM Data - diffify
• {svines} 0.2.4: Stationary Vine Copula Models - diffify
• {ROptEst} 1.3.5: Optimally Robust Estimation - diffify
• {TapeS} 0.13.1: Tree Taper Curves and Sorting Based on 'TapeR' - diffify
• {stats19} 3.3.1: Work with Open Road Traffic Casualty Data from Great Britain - diffify
• {grainscape} 0.5.0: Landscape Connectivity, Habitat, and Protected Area Networks - diffify
• {GLCMTextures} 0.5: GLCM Textures of Raster Layers - diffify
• {ggsem} 0.2.1: Interactively Visualize Structural Equation Modeling Diagrams - diffify
• {cppcontainers} 1.0.4: 'C++' Standard Template Library Containers - diffify
• {colorSpec} 1.6-0: Color Calculations with Emphasis on Spectral Data - diffify
• {asbio} 1.11: A Collection of Statistical Tools for Biologists - diffify
• {ABM} 0.4.2: Agent Based Model Simulation Framework - diffify
• {mixlm} 1.4.2: Mixed Model ANOVA and Statistics for Education - diffify
• {iglu} 4.2.2: Interpreting Glucose Data from Continuous Glucose Monitors - diffify
• {DescriptiveRepresentationCalculator} 1.1.0: Characterizing Observed and Expected Representation - diffify
• {streamDAG} 1.5-9: Analytical Methods for Stream DAGs - diffify
• {Rfast} 2.1.4: A Collection of Efficient and Extremely Fast R Functions - diffify
• {ssdtools} 2.2.0: Species Sensitivity Distributions - diffify
• {auk} 0.8.0: eBird Data Extraction and Processing in R - diffify
• {RProtoBuf} 0.4.23: R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3) - diffify
• {RobAStBase} 1.2.7: Robust Asymptotic Statistics - diffify
• {GeoModels} 2.1.0: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis - diffify
• {enderecobr} 0.4.0: Padronizador de Endereços Brasileiros (Brazilian Addresses Standardizer) - diffify
• {atRisk} 0.2.0: At-Risk - diffify
• {pwrFDR} 3.2.4: FDR Power - diffify
• {geomtextpath} 0.1.5: Curved Text in 'ggplot2' - diffify
• {BayesTools} 0.2.18: Tools for Bayesian Analyses - diffify
• {parameters} 0.24.1: Processing of Model Parameters - diffify
• {mlr3verse} 0.3.1: Easily Install and Load the 'mlr3' Package Family - diffify
• {mFDP} 0.2.0: Control of the Median of the FDP - diffify
• {LMMsolver} 1.0.9: Linear Mixed Model Solver - diffify
• {hommel} 1.8: Methods for Closed Testing with Simes Inequality, in Particular Hommel's Method - diffify
• {fusen} 0.7.0: Build a Package from Rmarkdown Files - diffify
• {fdacluster} 0.4.1: Joint Clustering and Alignment of Functional Data - diffify
• {pmparser} 1.0.21: Create and Maintain a Relational Database of Data from PubMed/MEDLINE - diffify
• {EBcoBART} 1.1.1: Co-Data Learning for Bayesian Additive Regression Trees - diffify
• {GitStats} 2.2.0: Standardized Git Repository Data - diffify
• {distrMod} 2.9.7: Object Oriented Implementation of Probability Models - diffify
• {boot.pval} 0.6: Bootstrap p-Values - diffify
• {NeuralEstimators} 0.1.3: Likelihood-Free Parameter Estimation using Neural Networks - diffify
• {distrDoc} 2.8.5: Documentation for 'distr' Family of R Packages - diffify
• {nexus} 0.4.0: Sourcing Archaeological Materials by Chemical Composition - diffify
• {drugdevelopR} 1.0.2: Utility-Based Optimal Phase II/III Drug Development Planning - diffify
• {Dark} 0.9.9: The Analysis of Dark Adaptation Data - diffify
• {BCEA} 2.4.7: Bayesian Cost Effectiveness Analysis - diffify
• {BayesMallows} 2.2.3: Bayesian Preference Learning with the Mallows Rank Model - diffify
• {praatpicture} 1.4.0: 'Praat Picture' Style Plots of Acoustic Data - diffify
• {shinyStorePlus} 1.4: Secure in-Browser and Database Storage for 'shiny' Inputs, Outputs, Views and User Likes - diffify
• {worldmet} 0.9.9: Import Surface Meteorological Data from NOAA Integrated Surface Database (ISD) - diffify
• {spEDM} 1.2: Spatial Empirical Dynamic Modeling - diffify
• {cvms} 1.6.3: Cross-Validation for Model Selection - diffify
• {fastrerandomize} 0.2: Hardware-Accelerated Rerandomization for Improved Balance - diffify
• {ursa} 3.11.2: Non-Interactive Spatial Tools for Raster Processing and Visualization - diffify
• {RandVar} 1.2.5: Implementation of Random Variables - diffify
• {qtkit} 1.1.1: Quantitative Text Kit - diffify
• {httk} 2.5.0: High-Throughput Toxicokinetics - diffify
• {exiftoolr} 0.2.7: ExifTool Functionality from R - diffify

CRANberries NEW:

• {windfarmGA} 4.0.0: Genetic Algorithm for Wind Farm Layout Optimization
• {tidyfit} 0.7.3: Regularized Linear Modeling with Tidy Data
• {unhcrdown} 0.6.0: UNHCR Branded Templates for R Markdown Documents
• {veesa} 0.1.6: Pipeline for Explainable Machine Learning with Functional Data
• {rtables.officer} 0.0.2: Exporting Tools for 'rtables'
• {MonotonicityTest} 1.0: Nonparametric Bootstrap Test for Regression Monotonicity
• {zephyr} 0.1.0: Structured Messages and Options
• {chartreview} 1.0: Adaptive Multi-Wave Sampling for Efficient Chart Validation
• {SeedMaker} 1.0.0: Generate a Collection of Seeds from a Single Seed
• {duet} 0.1.1: Analysing Non-Verbal Communication in Dyadic Interactions from Video Data
• {smer} 0.0.1: Sparse Marginal Epistasis Test
• {SiFINeT} 1.13: Single Cell Feature Identification with Network Topology
• {shiny.ollama} 0.1.0: R 'Shiny' Interface for Chatting with Large Language Models Offline on Local with 'ollama'
• {phylosignalDB} 0.2.2: Explore Phylogenetic Signals Using Distance-Based Methods
• {drugsens} 0.1.0: Automated Analysis of 'QuPath' Output Data and Metadata Extraction
• {twig} 1.0.0.0: For Streamlining Decision and Economic Evaluation Models using Grammar of Modeling
• {trace} 0.5.0: Tandem Repeat Analysis by Capillary Electrophoresis
• {stenographer} 1.0.0: Flexible and Customisable Logging System
• {rwlifetable} 0.1.0-6: Estimation of Life Tables Using Rolling Windows
• {rbm25} 0.0.3: A Light Wrapper Around the 'BM25' 'Rust' Crate for Okapi BM25 Text Search
• {parttree} 0.1.0: Visualize Simple 2-D Decision Tree Partitions
• {NPBBBDAefficiency} 0.1.0: A-Efficiency for Nested Partially Balanced Bipartite Block (NPBBB) Designs
• {babyTimeR} 0.1.0: Parse Output from 'BabyTime' Application
• {pmd} 0.2.7: Paired Mass Distance Analysis for GC/LC-MS Based Non-Targeted Analysis and Reactomics Analysis
• {VAJointSurv} 0.1.1: Variational Approximation for Joint Survival and Marker Models
• {shinyscholar} 0.2.3: A Template for Creating Reproducible 'shiny' Applications
• {RCTRecruit} 0.1.24: Non-Parametric Recruitment Prediction for Randomized Clinical Trials
• {qmj} 0.2.1: Quality Scores for the Russell 3000
• {PSpower} 0.1.0: Sample Size Calculation for Propensity Score Analysis
• {ProtE} 1.0.1: Processing Proteomics Data, Statistical Analysis and Visualization
• {poobly} 0.1.1: Poolability Tests in Panel Data
• {diario} 0.1.0: 'R' Interface to the 'Diariodeobras' Application
• {froggeR} 0.3.0: Enhance 'Quarto' Project Workflows and Standards
• {sfhelper} 0.2.2.0: Repair Functions for 'sf' Package Objects
• {SampleSizeSingleArmSurvival} 0.1.0: Calculate Sample Size for Single-Arm Survival Studies
• {psHarmonize} 0.3.5: Creates a Harmonized Dataset Based on a Set of Instructions
• {fromhere} 0.1.0: File Paths Relative to Project Roots
• {fftab} 0.1.0: Tidy Manipulation of Fourier Transformed Data
• {epiCo} 1.0.1: Statistical and Viz Tools for Vector-Borne Diseases in Colombia
• {rlibkriging} 0.9-1: Kriging Models using the 'libKriging' Library
• {faux} 1.2.2: Simulation for Factorial Designs
• {arcgisplaces} 0.1.1: Search for POIs using ArcGIS 'Places Service'
• {RPANDA} 2.4: Phylogenetic ANalyses of DiversificAtion
• {sgapi} 1.0.3: Aid Querying 'nomis' and 'Office for National Statistics Open Geography' APIs
• {hhmR} 0.0.1: Hierarchical Heatmaps
• {pudu} 0.1.0: C++ Tools for Cleaning Strings
• {ggstackplot} 0.4: Create Overlapping Stacked Plots
• {FLASHMM} 1.0.0: Fast and Scalable Single Cell Differential Expression Analysis using Mixed-Effects Models
• {bitstreamio} 0.1.0: Read and Write Bits from Files, Connections and Raw Vectors
• {BIS} 0.4: Programmatic Access to Bank for International Settlements Data
• {PLStests} 0.1.0: Model Checking for High-Dimensional GLMs via Random Projections
• {OpenRange} 0.0.1: Code to Access Open Access Species Range Maps
• {theorytools} 0.1.0: FAIR Theory Construction
• {pam} 1.0.1: Fast and Efficient Processing of PAM Data
• {ggmapcn} 0.1.2: Customizable China Map Visualizations
• {spNetwork} 0.4.4.4: Spatial Analysis on Network
• {ProActive} 0.0.2: Detect Elevations and Gaps in Mapped Sequencing Read Coverage
• {enviGCMS} 0.8.0: GC/LC-MS Data Analysis for Environmental Science
• {viafoundry} 1.0.0: R Client for 'Via Foundry' API
• {urlparse} 0.1.0: Fast Simple URL Parser
• {spectrolab} 0.0.19: Class and Methods for Spectral Data
• {sequenceR} 1.0.1: A Simple Sequencer for Data Sonification
• {rineq} 0.3.0: Concentration Index and Decomposition for Health Inequalities
• {priorityelasticnet} 0.1.0: Comprehensive Analysis of Multi-Omics Data Using an Offset-Based Method
• {plug} 0.1.0: Secure and Intuitive Access to 'Plug' Interface
• {mlr3inferr} 0.1.0: Inference on the Generalization Error
• {idiffomix} 1.0.0: Integrated Differential Analysis of Multi Omics Data using a Joint Mixture Model
• {fastrerandomize} 0.2: Hardware-Accelerated Rerandomization for Improved Balance
• {FactorHet} 1.0.0: Estimate Heterogeneous Effects in Factorial Experiments Using Grouping and Sparsity
• {dfeR} 1.0.1: Common Department for Education Analysis Tasks
• {bnns} 0.1.2: Bayesian Neural Network with 'Stan'
• {soilassessment} 0.3.0: Soil Health Assessment Models for Assessing Soil Conditions and Suitability
• {quickPWCR} 1.2: Quickly Construct and Rate Large Binary Pairwised Comparisons
• {maraca} 0.7.1: The Maraca Plot: Visualizing Hierarchical Composite Endpoints
• {dietr} 1.1.6: Diet Estimated Trophic Levels