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Explaining Time-Series Forecasts with Sensitivity Analysis (ahead::dynrmf and external regressors)
Same model, better shape: why centering improves MCMC
tinyimg: An R Package for Compressing Images
The Surprising Slowness of textConnection() in R
Better Git diff with difftastic
Regression Modeling Strategies Pre-Course
Regression Modeling Strategies Course
Collaborating between Bioconductor and R-universe on Development of Common Infrastructure
Sponsor me for Tour de Shore 2026 to support MFA
Pacific island energy supply by @ellis2013nz
A Better R Programming Experience Thanks to Tree-sitter
rOpenSci News Digest, March 2026
A Complete Guide to the Drug Development Process
Navigating Financial Statement And The Story It Tells Us - A Note To Myself
posit::glimpse() Newsletter – April 2026
Meet dataviewR: The View() You Always Wanted
AGENTS.md, {admiral}, and the AI-Assisted Programmer
AI-Assisted Customer Screening for DNA Synthesis Orders
Weekly Recap (April 2, 2026)
Creating Enforceable Biosecurity Standards for Nucleic Acid Providers
Importance of Data in Al-Enabled Biological Models
Building Your First Automation Assistant for Free with n8n and Oracle Cloud
CRANberries UPDATED:
{RSQLite.toolkit} 0.1.2: Load Data in SQLite from Tabular Files - diffify
{quickcode} 1.0.8: Quick and Essential ‘R’ Tricks for Better Scripts - diffify
{manynet} 1.7.1: Many Ways to Make, Modify, Mark, and Measure Myriad Networks - diffify
{fastplyr} 0.9.91: Fast Alternatives to ‘tidyverse’ Functions - diffify
{BayesianLasso} 0.3.6: Bayesian Lasso Regression and Tools for the Lasso Distribution - diffify
{autograph} 0.6.0: Automatic Plotting and Theming of Many Graphs - diffify
{migest} 2.0.6: Tools for Estimating, Measuring and Working with Migration Data - diffify
{magrittr} 2.0.4: A Forward-Pipe Operator for R - diffify
{echarty} 1.7.2: Minimal R/Shiny Interface to JavaScript Library ‘ECharts’ - diffify
{SMNlmec} 1.0.1: Scale Mixture of Normal Distribution in Linear Mixed-Effects Model - diffify
{LSDsensitivity} 1.3.2: Sensitivity Analysis Tools for ‘LSD’ Simulations - diffify
{autoMR} 1.0.0: Automated Mendelian Randomization Workflows and Visualizations - diffify
{wex} 0.1.1: Exact Observation Weights for the Kalman Filter and Smoother - diffify
{tsaux} 1.0.2: Time Series Forecasting Auxiliary Functions - diffify
{spiralize} 1.1.1: Visualize Data on Spirals - diffify
{spatialEco} 2.0-4: Spatial Analysis and Modelling Utilities - diffify
{shinyGizmo} 0.5.0: Custom Components for Shiny Applications - diffify
{SHELF} 1.13.0: Tools to Support the Sheffield Elicitation Framework - diffify
{PAMmisc} 1.13.0: Miscellaneous Functions for Passive Acoustic Analysis - diffify
{nanonext} 1.8.2: Lightweight Toolkit for Messaging, Concurrency and the Web - diffify
{lobstr} 1.2.1: Visualize R Data Structures with Trees - diffify
{libr} 1.4.1: Libraries, Data Dictionaries, and a Data Step for R - diffify
{lazyeval} 0.2.3: Lazy (Non-Standard) Evaluation - diffify
{immundata} 0.0.7: A Unified Data Layer for Large-Scale Single-Cell, Spatial and Bulk Immunomics - diffify
{fingerprint} 3.5.10: Functions to Operate on Binary Fingerprint Data - diffify
{ellipsis} 0.3.3: Tools for Working with … - diffify
{CVXR} 1.8.2: Disciplined Convex Optimization - diffify
{cpp11} 0.5.4: A C++11 Interface for R’s C Interface - diffify
{circlize} 0.4.18: Circular Visualization - diffify
{cheapr} 1.5.1: Simple Functions to Save Time and Memory - diffify
{censored} 0.3.4: ‘parsnip’ Engines for Survival Models - diffify
{mlmoderator} 0.2.1: Probing, Plotting, and Interpreting Multilevel Interaction Effects - diffify
{optimall} 1.4.0: Allocate Samples Among Strata - diffify
{synopR} 1.0.0: Fast Decoding of SYNOP (Surface Synoptic Observations) Meteorological Messages - diffify
{rigr} 1.0.9: Regression, Inference, and General Data Analysis Tools in R - diffify
{percentiles} 0.2.3: Calculate (Stratified) Percentiles - diffify
{panelr} 1.0.1: Regression Models and Utilities for Repeated Measures and Panel Data - diffify
{LSDinterface} 1.2.5: Interface Tools for ‘LSD’ Simulation Results Files - diffify
{fabricQueryR} 0.2.1: Query Data in ‘Microsoft Fabric’ - diffify
{bayeslm} 2.0: Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors - diffify
{countSTAR} 1.2.0: Flexible Modeling of Count Data - diffify
{cnefetools} 0.2.5: Access and Analysis of Brazilian CNEFE Address Data - diffify
{pmrm} 0.0.4: Progression Models for Repeated Measures - diffify
{phylospatial} 1.3.0: Spatial Phylogenetic Analysis - diffify
{Rrepest} 1.6.12: An Analyzer of International Large Scale Assessments in Education - diffify
{McMiso} 0.2.0: Multicore Multivariable Isotonic Regression - diffify
{matrixCorr} 0.10.0: Collection of Correlation and Association Estimators - diffify
{unifiedml} 0.2.1: Unified Interface for Machine Learning Models - diffify
{LogicForest} 2.1.4: Logic Forest - diffify
{ggseg} 2.1.0: Plotting Tool for Brain Atlases - diffify
{clusterMI} 1.6: Cluster Analysis with Missing Values by Multiple Imputation - diffify
{chopin} 0.9.9-5: Spatial Parallel Computing by Hierarchical Data Partitioning - diffify
{fru} 0.0.5: A Blazing Fast Implementation of Random Forest - diffify
{ILSAstats} 0.4.5: Statistics for International Large-Scale Assessments (ILSA) - diffify
{shinyscholar} 0.4.5: A Template for Creating Reproducible ‘shiny’ Applications - diffify
{rlas} 1.8.6: Read and Write ‘las’ and ‘laz’ Binary File Formats Used for Remote Sensing Data - diffify
{HDTSA} 1.0.6: High Dimensional Time Series Analysis Tools - diffify
{dplyr} 1.2.1: A Grammar of Data Manipulation - diffify
{vetr} 0.2.21: Trust, but Verify - diffify
{treesitter} 0.3.2: Bindings to ‘Tree-Sitter’ - diffify
{soilDB} 2.9.1: Soil Database Interface - diffify
{INLAtools} 0.1.1: Functionalities for the ‘INLA’ Package - diffify
{educabR} 0.9.0: Download and Process Brazilian Education Data from INEP - diffify
{stars} 0.7-2: Spatiotemporal Arrays, Raster and Vector Data Cubes - diffify
{gpkg} 0.0.14: Utilities for the Open Geospatial Consortium ‘GeoPackage’ Format - diffify
{ggseg.formats} 0.0.2: Brain Atlas Data Structures for the ‘ggseg’ Ecosystem - diffify
{CDMConnector} 2.5.1: Connect to an OMOP Common Data Model - diffify
{backports} 1.5.1: Reimplementations of Functions Introduced Since R-3.0.0 - diffify
{unitrootests} 1.1.0: Comprehensive Unit Root and Stationarity Tests - diffify
{RapidoPGS} 2.3.2: A Fast and Light Package to Compute Polygenic Risk Scores - diffify
{INLAvaan} 0.2.4: Approximate Bayesian Latent Variable Analysis - diffify
{bayesQRsurvey} 0.2.1: Bayesian Quantile Regression Models for Complex Survey Data Analysis - diffify
{aboveR} 1.0.0: ‘LiDAR’ Terrain Analysis and Change Detection from Above - diffify
{radEmu} 2.3.2.0: Using Relative Abundance Data to Estimate of Multiplicative Differences in Mean Absolute Abundance - diffify
{propertee} 1.0.5: Standardization-Based Effect Estimation with Optional Prior Covariance Adjustment - diffify
{adsasi} 0.9.0.2: Adaptive Sample Size Simulator - diffify
{ssaBSS} 0.1.2: Stationary Subspace Analysis - diffify
{epiworldRcalibrate} 0.1.4: Fast and Effortless Calibration of Agent-Based Models using Machine Learning - diffify
{mrgsim.sa} 0.3.0: Sensitivity Analysis with ‘mrgsolve’ - diffify
{staggR} 0.2.0: Fit Difference-in-Differences Models with Staggered Interventions - diffify
{SingleCaseES} 0.7.4: A Calculator for Single-Case Effect Sizes - diffify
{ravecore} 0.1.1: Core File Structures and Workflows for ‘RAVE’ - diffify
{n1qn1} 6.0.1-13: Port of the ‘Scilab’ ‘n1qn1’ Module for Unconstrained BFGS Optimization - diffify
{JMH} 1.0.4: Joint Model of Heterogeneous Repeated Measures and Survival Data - diffify
{GENEAcore} 1.2.0: Pre-Processing of ‘GENEActiv’ Data - diffify
{fpeek} 0.2.1: Check Text Files Content at a Glance - diffify
{easybgm} 0.4.0: Extracting and Visualizing Bayesian Graphical Models - diffify
{recipes} 1.3.2: Preprocessing and Feature Engineering Steps for Modeling - diffify
{kstMatrix} 2.3-1: Basic Functions in Knowledge Space Theory Using Matrix Representation - diffify
{ucminf} 1.2.3: General-Purpose Unconstrained Non-Linear Optimization - diffify
{tsBSS} 1.0.1: Blind Source Separation and Supervised Dimension Reduction for Time Series - diffify
{GitStats} 2.5.0: Standardized Git Repository Data - diffify
{geofi} 1.2.1: Access Finnish Geospatial Data - diffify
{f1pits} 1.2.0: F1 Pit Stop Datasets - diffify
{declared} 0.26: Functions for Declared Missing Values - diffify
{allcontributors} 0.2.3: Acknowledge all Contributors to a Project - diffify
{thisutils} 0.4.4: Collection of Utility Functions for Data Analysis and Computing - diffify
{mlr3} 1.6.0: Machine Learning in R - Next Generation - diffify
{meta} 8.3-0: General Package for Meta-Analysis - diffify
{lidR} 4.3.0: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications - diffify
{CFtime} 1.7.3: Using CF-Compliant Calendars with Climate Projection Data - diffify
{thisplot} 0.3.7: Utility Functions for Plotting - diffify
{spatstat} 3.6-0: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests - diffify
{openair} 3.0.0: Tools for the Analysis of Air Pollution Data - diffify
{inkaR} 0.6.2: Download and Analyze Spatial Development Data from ‘INKAR’ - diffify
{ICtest} 0.3-7: Estimating and Testing the Number of Interesting Components in Linear Dimension Reduction - diffify
{deduped} 0.4.0: Making “Deduplicated” Functions - diffify
{rio} 1.3.0: A Swiss-Army Knife for Data I/O - diffify
{hdf5lib} 2.1.1.0: Headers and Static Libraries for ‘HDF5’ - diffify
{Correlplot} 1.1.3: A Collection of Functions for Graphing Correlation Matrices - diffify
{IBDInfer} 0.1.0: Design-Based Causal Inference Method for Incomplete Block Designs - diffify
{rexpokit} 0.26.6.15: R Wrappers for EXPOKIT; Other Matrix Functions - diffify
{MFF} 0.2.0: Meta Fuzzy Functions - diffify
{EMOTIONS} 1.3: Ensemble Models for Lactation Curves - diffify
{conos} 1.5.3: Clustering on Network of Samples - diffify
{RTMBdist} 1.0.3: Distributions Compatible with Automatic Differentiation by ‘RTMB’ - diffify
{posterior} 1.7.0: Tools for Working with Posterior Distributions - diffify
{ecoXCorr} 0.2.1: Lagged Cross-Correlation Analysis of Environmental Time Series - diffify
{uaparserjs} 0.3.7: Parse ‘User-Agent’ Strings - diffify
{processx} 3.8.7: Execute and Control System Processes - diffify
{FAOSTAT} 2.4.2: Download Data from the FAOSTAT Database - diffify
{Signac} 1.17.0: Analysis of Single-Cell Chromatin Data - diffify
{convertid} 0.3.0: Convert Gene IDs Between Each Other and Fetch Annotations from Biomart - diffify
{nomine} 1.0.2: Classify Names by Gender, U.S. Ethnicity, and Leaf Nationality - diffify
{dyngen} 1.1.1: A Multi-Modal Simulator for Spearheading Single-Cell Omics Analyses - diffify
{scan} 0.68.0: Single-Case Data Analyses for Single and Multiple Baseline Designs - diffify
{spanner} 1.0.4: Utilities to Support Lidar Applications at the Landscape, Forest, and Tree Scale - diffify
{riskmetric} 0.2.7: Risk Metrics to Evaluating R Packages - diffify
{quickSentiment} 0.3.3: A Fast and Flexible Pipeline for Text Classification - diffify
{pkgload} 1.5.1: Simulate Package Installation and Attach - diffify
{nonnest2} 0.5-9: Tests of Non-Nested Models - diffify
{nimble} 1.4.2: MCMC, Particle Filtering, and Programmable Hierarchical Modeling - diffify
{maidr} 0.3.0: Multimodal Access and Interactive Data Representation - diffify
{ICC.Sample.Size} 1.1: Calculation of Sample Size and Power for ICC - diffify
{HonestDiD} 0.2.7: Robust Inference in Difference-in-Differences and Event Study Designs - diffify
{futurize} 0.3.0: Parallelize Common Functions via One Magic Function - diffify
{bfast} 1.7.2: Breaks for Additive Season and Trend - diffify
{SPACO} 1.0.1: Spatial Component Analysis for Spatial Sequencing Data - diffify
{socialSim} 0.1.9: Simulate and Analyse Social Interaction Data - diffify
{SEQTaRget} 1.4.1: Sequential Trial Emulation - diffify
{reviser} 0.1.1: Analyzing Revisions in Real-Time Time Series Vintages - diffify
{RcppCensSpatial} 1.0.0: Spatial Estimation and Prediction for Censored/Missing Responses - diffify
{pagoda2} 1.0.15: Single Cell Analysis and Differential Expression - diffify
{measles} 0.2.0: Measles Epidemiological Models - diffify
{mbg} 1.2.0: Model-Based Geostatistics - diffify
{imagefluency} 1.0.0: Image Statistics Based on Processing Fluency - diffify
{focus} 0.1.3: Online Changepoint Detection in Univariate and Multivariate Data Streams - diffify
{dynwrap} 1.3.0: Representing and Inferring Single-Cell Trajectories - diffify
{cati} 0.99.6: Community Assembly by Traits: Individuals and Beyond - diffify
{gge} 1.10: Genotype Plus Genotype-by-Environment Biplots - diffify
{Orangutan} 2.1.0: Automated Analysis of Phenotypic Data - diffify
{nzilbb.labbcat} 1.5-1: Accessing Data Stored in ‘LaBB-CAT’ Instances - diffify
{shinylive} 0.4.0: Run ‘shiny’ Applications in the Browser - diffify
{cograph} 2.0.0: Analysis and Visualization of Complex Networks - diffify
{vcfppR} 0.8.3: Rapid Manipulation of the Variant Call Format (VCF) - diffify
{rscorecard} 0.33.0: A Method to Download Department of Education College Scorecard Data - diffify
{inshiny} 0.1.4: Compact Inline Widgets for ‘shiny’ Apps - diffify
{nlpsem} 0.4: Nonlinear Longitudinal Process in Structural Equation Modeling - diffify
{Fiscal} 1.0.2: Income Tax Calculations (UK) - diffify
{sffdr} 1.1.2: Surrogate Functional False Discovery Rates for Genome-Wide Association Studies - diffify
{ReliaGrowR} 0.4: Reliability Growth Analysis - diffify
{ps} 1.9.2: List, Query, Manipulate System Processes - diffify
{furrr} 0.4.0: Apply Mapping Functions in Parallel using Futures - diffify
{dataRetrieval} 2.7.24: Retrieval Functions for USGS and EPA Hydrology and Water Quality Data - diffify
{Rduckhts} 1.1.4-0.0.1: ‘DuckDB’ High Throughput Sequencing File Formats Reader Extension - diffify
{glmmrOptim} 0.3.7: Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models - diffify
{HelpersMG} 2026.3.31: Tools for Various R Functions Helpers - diffify
{glmmrBase} 1.3.0: Generalised Linear Mixed Models in R - diffify
{csdb} 2026.2.2: An Abstracted System for Easily Working with Databases with Large Datasets - diffify
{pep725} 1.0.2: Pan-European Phenological Data Analysis - diffify
{OrgHeatmap} 0.3.4: Visualization Tool for Numerical Data on Human/Mouse Organs and Organelles - diffify
{multiRL} 0.3.7: Reinforcement Learning Tools for Multi-Armed Bandit - diffify
{epimdr2} 1.1-1: Functions and Data for “Epidemics: Models and Data in R (2nd Edition)” - diffify
{joinspy} 0.8.0: Diagnostic Tools for Data Frame Joins - diffify
{csdata} 2026.3.30: Structural Data for Norway - diffify
{progressr} 0.19.0: An Inclusive, Unifying API for Progress Updates - diffify
{BEMPdata} 0.2.3: Access the Bangladesh Environmental Mobility Panel Dataset - diffify
{hdftsa} 1.1: High-Dimensional Functional Time Series Analysis - diffify
{venn} 1.13: Draw Venn Diagrams - diffify
{ftsa} 6.7: Functional Time Series Analysis - diffify
{vroom} 1.7.1: Read and Write Rectangular Text Data Quickly - diffify
{spatstat.linnet} 3.5-0: Linear Networks Functionality of the ‘spatstat’ Family - diffify
{SimDesign} 2.25: Structure for Organizing Monte Carlo Simulation Designs - diffify
{rsamplr} 0.2.0: Sampling Algorithms and Spatially Balanced Sampling - diffify
{parttree} 0.1.3: Visualize Simple 2-D Decision Tree Partitions - diffify
{huge} 1.5.1: High-Dimensional Undirected Graph Estimation - diffify
{fitVARMxID} 1.0.3: Fit the Vector Autoregressive Model for Multiple Individuals - diffify
{guess} 0.3.0: Adjust Estimates of Learning for Guessing - diffify
{SeuratExplorer} 0.1.4: An ‘Shiny’ App for Exploring scRNA-seq Data Processed in ‘Seurat’ - diffify
{BEND} 2.0.0: Bayesian Estimation of Nonlinear Data (BEND) - diffify
{ledger} 2.0.13: Utilities for Importing Data from Plain Text Accounting Files - diffify
{NOVA} 0.1.5: Neural Output Visualization and Analysis - diffify
{tvmediation} 1.1.1: Time Varying Mediation Analysis - diffify
{PACVr} 1.1.4: Plastome Assembly Coverage Visualization - diffify
{N2R} 1.0.5: Fast and Scalable Approximate k-Nearest Neighbor Search Methods using ‘N2’ Library - diffify
{mlr3fda} 0.4.0: Extending ‘mlr3’ to Functional Data Analysis - diffify
{ecorest} 2.0.2: Conducts Analyses Informing Ecosystem Restoration Decisions - diffify
{eq5d} 0.16.3: Methods for Analysing ‘EQ-5D’ Data and Calculating ‘EQ-5D’ Index Scores - diffify
{duckspatial} 1.0.0: R Interface to ‘DuckDB’ Database with Spatial Extension - diffify
CRANberries NEW:
{ravel} 0.1.1: AI Copilot for R Analysis Workflows in ‘RStudio’
{multipleITScontrol} 0.1.0: Interrupted Time Series with a Control and Multiple Interventions
{symMCD} 0.6: Symmetrized MCD
{OdysseusSurvivalModule} 0.1.0: Cohort-Based Single-Event Survival Utilities
{easyComment} 2.0.0: Generate Comment Boxes with Custom Alignment
{mpmaggregate} 0.2.5: Aggregate Matrix Population Models
{zmctp} 0.1.0: Zero-Modified Complex ‘Tri-Parametric’ Pearson Distribution for Overdispersed Count Data
{tulpaMesh} 0.1.1: Constrained Delaunay Triangulation Meshes for Spatial ‘SPDE’ Models
{statAfrikR} 0.1.0: Statistical Tools for African National Statistics Institutes
{shard} 0.1.0: Deterministic, Zero-Copy Parallel Execution for R
{seroreconstruct} 1.1.5: Reconstructing Antibody Dynamics to Estimate the Risk of Influenza Virus Infection
{scip} 1.10.0-2: Interface to the SCIP Optimization Suite
{mlstm} 0.1.6: Multilevel Supervised Topic Models with Multiple Outcomes
{MAIHDA} 0.1.0: Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy
{csmbuilder} 0.1.0: A Collection of Tools for Building Cropping System Models
{birdcolors} 1.0.1: Create Palettes from the Colors of the World’s Birds
{balnet} 0.0.1: Pathwise Estimation of Covariate Balancing Propensity Scores
{lineagefreq} 0.2.0: Lineage Frequency Dynamics from Genomic Surveillance Counts
{syntheticdata} 0.1.0: Synthetic Clinical Data Generation and Privacy-Preserving Validation
{survinger} 0.1.0: Design-Adjusted Inference for Pathogen Lineage Surveillance
{rjd3workspace} 3.7.1: Wrangling ‘JDemetra+ 3.x’ Workspace
{MyoScore} 1.0.1: Transcriptomic Scoring for Human Skeletal Muscle Health
{clinicalfair} 0.1.0: Algorithmic Fairness Assessment for Clinical Prediction Models
{pepdiff} 1.0.0: Differential Abundance Analysis for Phosphoproteomics Data
{baskoptr} 1.0.4: Utility-Based Optimization for Basket Trial Designs
{shinyreprex} 0.1.0: Reproducible Code for ‘Shiny’ Objects
{rescomp} 1.0.0: Efficient Modelling of Resource Competition
{refundBayes} 0.5: Bayesian Regression with Functional Data
{PhaseGMM} 0.1.0: Phase-Function Based Estimation and Inference for Linear Errors-in-Variables (EIV) Models
{dsge} 1.0.0: Dynamic Stochastic General Equilibrium Models
{stt.api} 0.2.1: ‘OpenAI’ Compatible Speech-to-Text API Client
{SingleArmMRCT} 0.1.1: Regional Consistency Probability for Single-Arm Multi-Regional Clinical Trials
{likelihood.contr} 0.1.1: Likelihood Contribution Models for Heterogeneous Observation Types
{gghinton} 0.1.0: Hinton Diagrams for ‘ggplot2’
{taxdiv} 0.1.0: Taxonomic Diversity Indices Using Deng Entropy
{mtaOpenData} 0.1.0: Convenient Access to MTA Open Data API Endpoints
{gcpca} 0.0.1: Generalized Contrastive Principal Component Analysis
{EE.Data} 0.1.1: Objects for Predicting Energy Expenditure
{albersdown} 1.0.0: Minimalist Theme and Vignette Kit for ‘pkgdown’ and R Markdown
{AgriDiversiX} 0.1.0: Agricultural Crop Diversification Indices Analysis
{nysOpenData} 0.1.1: Convenient Access to NYS Open Data API Endpoints
{catviz} 0.1.1: Visualizing Causal Assignment Trees for CSDiD and DR-DDD Designs
{bigKNN} 0.3.0: Exact Search and Graph Construction for ‘bigmemory’ Matrices
{bigANNOY} 0.3.0: Approximate k-Nearest Neighbour Search for ‘bigmemory’ Matrices with Annoy
{RDesk} 1.0.4: Native Desktop App Framework for ‘R’
{mmbcv} 0.3.0: Multistate Model Bias-Corrected Robust Variance
{forrest} 0.3.0: Publication-Ready Forest Plots
{debtkit} 0.1.2: Debt Sustainability Analysis and Fiscal Risk Assessment
{pams} 0.1.0: Profile Analysis via Multidimensional Scaling
{aisdk} 1.1.0: Unified Interface for AI Model Providers
{agriReg} 0.1.0: Linear and Nonlinear Regression for Agricultural Data
{RFIF} 1.0: Fast Iterative Filtering (FIF) with Portable FFT Backend
{tynding} 0.1.2: ‘Typst’ Bindings
{SPACO} 1.0.1: Spatial Component Analysis for Spatial Sequencing Data
{sicher} 0.1.0: Runtime Type Checking
{MFSD} 0.1.0: Multivariate Functional Spatial Data
{discretes} 0.1.0: Discrete Numeric Series
{CompositionalNAimp} 1.0: Missing Value Imputation with Compositional Data
{causaldef} 0.2.0: Decision-Theoretic Causal Diagnostics via Le Cam Deficiency
{BayesVolcano} 1.0.1: Creating Volcano Plots from Bayesian Model Posteriors
{TwoDiRef} 0.1.0: Robust Estimation of Conditional 2D Reference Regions
{ParCC} 1.4.0: Parameter Converter and Calculator for Health Technology Assessment
{misl} 1.0.0: Multiple Imputation by Super Learning
{mfrmr} 0.1.4: Estimation and Diagnostics for Many-Facet Measurement Models
{jsdtools} 0.1.0: Jensen-Shannon Divergence Estimation, Confidence Intervals, and Distribution Plots
{InsectLabelR} 1.0.4: Create Labels for Insect in Collection
{hexsession} 0.1.0: Create a Tile of Logos for Loaded Packages
{climatehealth} 1.0.0: Statistical Tools for Modelling Climate-Health Impacts
{a11yShiny} 0.1.3: Accessibility Enhancements to Popular R Shiny Functions
{ReproStat} 0.1.2: Reproducibility Diagnostics for Statistical Modeling
{PQA} 1.0.0: Perform the Pearson-Quetelet Analysis on Two-Way Contingency Tables
{metaLong} 0.1.0: Longitudinal Meta-Analysis with Robust Variance Estimation and Sensitivity Analysis
{ggrefine} 0.1.0: Pretty ‘ggplot2’ Themes
{MultiscaleSCP} 0.1.1: Multiscale Systematic Conservation Planning Across Nested H3 Grids
{splinemixmeta} 1.0.0: Additive Mixed Meta-Analysis with Spline Meta-Regression
{sparseLM} 0.5: Interface to the ‘sparseLM’ Levenberg-Marquardt Library
{sd2R} 0.1.7: Stable Diffusion Image Generation
{ply} 0.1.0: Bitboard Chess Engine
{PLUCR} 0.1.0: Policy Learning Under Constraint
{peppwR} 0.1.0: Power Analysis for Phosphopeptide Abundance Hypothesis Test Streams
{confoundvis} 0.1.0: Visualization Tools for Sensitivity Analysis of Unmeasured Confounding
{saber} 0.2.0: Code Analysis and Project Context for R
{perspectiveR} 0.3.0: Interactive Pivot Tables and Visualizations with ‘Perspective’
{pc} 0.1: Pattern Causality Analysis
{mnirs} 0.6.0: Muscle Near-Infrared Spectroscopy Processing and Analysis
{jentre} 0.1.0: Toolkit for the ‘Entrez’ API
{roam} 0.1.0: Remote Objects with Active-Binding Magic
{LactCurveModels} 0.1.5: Lactation Curve Model Fitting for Dairy Animals
{kuenm2} 0.1.2: Detailed Development of Ecological Niche Models
{ggExametrika} 1.0.0: Visualization of ‘exametrika’ Output Using ‘ggplot2’
{FluxSeparator} 1.0.1: Separation of Diffusive and Ebullitive Fluxes
{evmr} 0.1.0: Extreme Value Modeling for r-Largest Order Statistics
{ameras} 0.1.1: Analyze Multiple Exposure Realizations in Association Studies
{xtrec} 1.0.0: Panel Unit Root Test Based on Recursive Detrending
{simpowa} 1.0.3: Power Analysis and Sample Size Calculation for Semi-Field Vector Control Trials
{flexCausal} 0.1.0: Causal Effect Estimation via Doubly Robust One-Step Estimators and TMLE in Graphical Models with Unmeasured Variables
{fishmechr} 1.0.3: Computes Kinematic Parameters for Swimming
{FinanceGraphs} 0.8.0: Flexible Graphs for Analysis of Financial Data and Time Series
{drMAIC} 0.1.0: Doubly Robust Matching-Adjusted Indirect Comparison for HTA
{CellDEEP} 1.0.1: Cell DiffErential Expression by Pooling (‘CellDEEP’)
{bayespmtools} 0.0.1: Bayesian Sample Size and Precision Considerations for Risk Prediction Models
{rjd3bench} 3.1.1: Temporal Disaggregation and Benchmarking in ‘JDemetra+’ 3.x
{reviser} 0.1.1: Analyzing Revisions in Real-Time Time Series Vintages
{betaARMA} 1.0.1: Beta Autoregressive Moving Average Models
{autoMR} 1.0.0: Automated Mendelian Randomization Workflows and Visualizations

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