RSS POSTS: ##

RSS POSTS:

• vowels: Phonetics cloze quiz about Cardinal vowels
• flags: Fun with Flags
• sumdiff: Sum Minus Difference
• Rotation with Modulo
• rOpenSci News Digest, April 2025
• surveydown: An Open-Source, Markdown-Based Platform for Interactive and Reproducible Surveys workshop
• recipes 1.3.0
• 30 Day Chart Challenge 2025
• Linux Strings and Linux Numbers: A Beginner’s Guide
• Returning Data from Functions in C: A Beginner’s Guide
• How to Write Your First tryCatch() Function in R
• A year with Visible Long-Covid Tracking
• 3MW (Creating Beautiful PDF Reports with Typst and Quarto)
• Running AI/LLM Hackathons at Posit: What We’ve Learned
• New Book: Python Polars: The Definitive Guide Now Available
• March 2025 Top 40 New CRAN Packages

  CRANberries UPDATED:

• {tinyVAST} 1.1.0: Multivariate Spatio-Temporal Models using Structural Equations - diffify
• {bskyr} 0.3.0: Interact with ‘Bluesky’ Social - diffify
• {rtkore} 1.6.13: ‘STK++’ Core Library Integration to ‘R’ using ‘Rcpp’ - diffify
• {R.cache} 0.17.0: Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations - diffify
• {coda.base} 1.0.0: A Basic Set of Functions for Compositional Data Analysis - diffify
• {wikiprofiler} 0.1.6: ‘WikiPathway’ Based Data Integration and Visualization - diffify
• {phoenix} 1.1.2: The Phoenix Pediatric Sepsis and Septic Shock Criteria - diffify
• {cmpp} 0.0.2: Direct Parametric Inference for the Cumulative Incidence Function in Competing Risks - diffify
• {xmlrpc2} 1.2: Implementation of the Remote Procedure Call Protocol (‘XML-RPC’) - diffify
• {Rfast2} 0.1.5.4: A Collection of Efficient and Extremely Fast R Functions II - diffify
• {R.oo} 1.27.1: R Object-Oriented Programming with or without References - diffify
• {profmem} 0.7.0: Simple Memory Profiling for R - diffify
• {survParamSim} 0.1.7: Parametric Survival Simulation with Parameter Uncertainty - diffify
• {harbinger} 1.1.727: A Unified Time Series Event Detection Framework - diffify
• {InterpolateR} 1.3-4: A Comprehensive Toolkit for Fast and Efficient Spatial Interpolation - diffify
• {bdsm} 0.2.1: Bayesian Dynamic Systems Modeling - diffify
• {NormalityAssessment} 0.1.1: A Graphical User Interface for Testing Normality Visually - diffify
• {meta} 8.1-0: General Package for Meta-Analysis - diffify
• {HMC} 1.2: High-Dimensional Mean Comparison with Projection and Cross-Fitting - diffify
• {crandep} 0.3.12: Network Analysis of Dependencies of CRAN Packages - diffify
• {betaselectr} 0.1.2: Betas-Select in Structural Equation Models and Linear Models - diffify
• {GeoModels} 2.1.3: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis - diffify
• {fastadi} 0.1.2: Self-Tuning Data Adaptive Matrix Imputation - diffify
• {stacks} 1.1.0: Tidy Model Stacking - diffify
• {Qval} 1.2.2: The Q-Matrix Validation Methods Framework - diffify
• {partykit} 1.2-24: A Toolkit for Recursive Partytioning - diffify
• {modeltools} 0.2-24: Tools and Classes for Statistical Models - diffify
• {maxstat} 0.7-26: Maximally Selected Rank Statistics - diffify
• {ladder} 0.0.3: Get on to the Slides - diffify
• {icesDatsu} 1.2.1: Functions to Interact with the ICES Data Submission Utility (DATSU) - diffify
• {HSAUR2} 1.1-21: A Handbook of Statistical Analyses Using R (2nd Edition) - diffify
• {HSAUR} 1.3-11: A Handbook of Statistical Analyses Using R (1st Edition) - diffify
• {phylospatial} 1.1.1: Spatial Phylogenetic Analysis - diffify
• {idarps} 0.0.5: Datasets and Functions for the Class “Modelling and Data Analysis for Pharmaceutical Sciences” - diffify
• {tidytlg} 0.1.6: Create TLGs using the ‘tidyverse’ - diffify
• {equateMultiple} 1.1.2: Equating of Multiple Forms - diffify
• {text} 1.5: Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning - diffify
• {metasens} 1.5-3: Statistical Methods for Sensitivity Analysis in Meta-Analysis - diffify
• {BinMat} 0.1.6: Processes Binary Data Obtained from Fragment Analysis (Such as AFLPs, ISSRs, and RFLPs) - diffify
• {RSQLite} 2.3.10: SQLite Interface for R - diffify
• {rextendr} 0.4.0: Call Rust Code from R using the ‘extendr’ Crate - diffify
• {modelbased} 0.11.0: Estimation of Model-Based Predictions, Contrasts and Means - diffify
• {EpiReport} 1.0.4: Epidemiological Report - diffify
• {archetypes} 2.2-0.2: Archetypal Analysis - diffify
• {growthPheno} 3.1.12: Functional Analysis of Phenotypic Growth Data to Smooth and Extract Traits - diffify
• {forensicpopdata} 1.0.4: Allele Frequency Data for Human Genetic Markers - diffify
• {exams2forms} 0.2-0: Embedding ‘exams’ Exercises as Forms in ‘rmarkdown’ or ‘quarto’ Documents - diffify
• {STICr} 1.1.1: Process Stream Temperature, Intermittency, and Conductivity (STIC) Sensor Data - diffify
• {GWmodelVis} 1.0.1: Visualization Tools for Geographically Weighted Models - diffify
• {tongfen} 0.3.6: Make Data Based on Different Geographies Comparable - diffify
• {healthatlas} 0.2.1: Explore and Import ‘Metopio’ Health Atlas Data and Spatial Layers - diffify
• {lmtp} 1.5.0: Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies - diffify
• {lefko3} 6.5.0: Historical and Ahistorical Population Projection Matrix Analysis - diffify
• {HLAtools} 1.6.2: Toolkit for HLA Immunogenomics - diffify
• {grpnet} 0.9: Group Elastic Net Regularized GLMs and GAMs - diffify
• {pooledpeaks} 1.2.1: Genetic Analysis of Pooled Samples - diffify
• {gkwreg} 1.0.7: Generalized Kumaraswamy Regression Models for Bounded Data - diffify
• {resevol} 0.4.0.2: Simulate Agricultural Production and Evolution of Pesticide Resistance - diffify
• {lightAUC} 0.1.3: Fast AUC Computation - diffify
• {httk} 2.6.1: High-Throughput Toxicokinetics - diffify
• {fastJT} 1.0.8: Efficient Jonckheere-Terpstra Test Statistics for Robust Machine Learning and Genome-Wide Association Studies - diffify
• {ecoregime} 0.2.1: Analysis of Ecological Dynamic Regimes - diffify
• {dixon} 0.0-10: Nearest Neighbour Contingency Table Analysis - diffify
• {ecespa} 1.1-18: Functions for Spatial Point Pattern Analysis - diffify
• {TropFishR} 1.6.6: Tropical Fisheries Analysis - diffify
• {mockr} 0.2.2: Mocking in R - diffify
• {scicomptools} 1.1.1: Tools Developed by the NCEAS Scientific Computing Support Team - diffify
• {FORTLS} 1.5.1: Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes - diffify
• {winch} 0.1.2: Portable Native and Joint Stack Traces - diffify
• {MTE} 1.2.1: Maximum Tangent Likelihood Estimation for Robust Linear Regression and Variable Selection - diffify
• {mixedBayes} 0.1.7: Bayesian Longitudinal Regularized Quantile Mixed Model - diffify
• {leafem} 0.2.4: ‘leaflet’ Extensions for ‘mapview’ - diffify
• {idar} 1.6: Individual Diversity-Area Relationships - diffify
• {GDINA} 2.9.9: The Generalized DINA Model Framework - diffify
• {ENMeval} 2.0.5.2: Automated Tuning and Evaluations of Ecological Niche Models - diffify
• {EFAfactors} 1.2.2: Determining the Number of Factors in Exploratory Factor Analysis - diffify
• {clifford} 1.1-0: Arbitrary Dimensional Clifford Algebras - diffify
• {icesVocab} 1.3.1: ICES Vocabularies Database Web Services - diffify
• {utf8} 1.2.5: Unicode Text Processing - diffify
• {textshaping} 1.0.1: Bindings to the ‘HarfBuzz’ and ‘Fribidi’ Libraries for Text Shaping - diffify
• {password} 1.0-1: Create Random Passwords - diffify
• {gamselBayes} 2.0-3: Bayesian Generalized Additive Model Selection - diffify
• {memoiR} 1.3-1: R Markdown and Bookdown Templates to Publish Documents - diffify
• {WARN} 1.2-5: Weaning Age Reconstruction with Nitrogen Isotope Analysis - diffify
• {packageRank} 0.9.6: Computation and Visualization of Package Download Counts and Percentile Ranks - diffify
• {electoral} 0.1.4: Allocating Seats Methods and Party System Scores - diffify
• {cholera} 0.9.1: Amend, Augment and Aid Analysis of John Snow’s Cholera Map - diffify
• {statprograms} 0.3.0: Graduate Statistics Program Datasets - diffify
• {reformulas} 0.4.1: Machinery for Processing Random Effect Formulas - diffify
• {rbbnp} 0.3.0: A Bias Bound Approach to Non-Parametric Inference - diffify
• {logihist} 1.1: Combined Graphs for Logistic Regression - diffify
• {sensitivitymv} 1.4.4: Sensitivity Analysis in Observational Studies - diffify
• {replicatedpp2w} 0.1-6: Two-Way ANOVA-Like Method to Analyze Replicated Point Patterns - diffify
• {overlapptest} 1.4: Test Overlapping of Polygons Against Random Rotation - diffify
• {mpmcorrelogram} 0.1-5: Multivariate Partial Mantel Correlogram - diffify
• {systemfonts} 1.2.3: System Native Font Finding - diffify
• {submax} 1.1.5: Effect Modification in Observational Studies Using the Submax Method - diffify
• {sctransform} 0.4.2: Variance Stabilizing Transformations for Single Cell UMI Data - diffify
• {ordinalbayes} 0.1.2: Bayesian Ordinal Regression for High-Dimensional Data - diffify
• {icesConnect} 1.1.4: Provides User Tokens for Access to ICES Web Services - diffify
• {mma} 10.8-1: Multiple Mediation Analysis - diffify
• {R2sample} 4.0.1: Various Methods for the Two Sample Problem - diffify
• {chores} 0.2.0: A Collection of Large Language Model Assistants - diffify
• {sstvars} 1.2.0: Toolkit for Reduced Form and Structural Smooth Transition Vector Autoregressive Models - diffify
• {ks} 1.15.0: Kernel Smoothing - diffify
• {gimap} 1.1.1: Calculate Genetic Interactions for Paired CRISPR Targets - diffify
• {equateIRT} 2.5.2: IRT Equating Methods - diffify
• {xvm} 0.0.2: Read, Parse and Visualize ‘XVG’/’XPM’ Files from Molecular Dynamics - diffify
• {parameters} 0.25.0: Processing of Model Parameters - diffify
• {Rlgt} 0.2-3: Bayesian Exponential Smoothing Models with Trend Modifications - diffify
• {luajr} 0.1.9: ‘LuaJIT’ Scripting - diffify
• {grateful} 0.2.12: Facilitate Citation of R Packages - diffify
• {mathjaxr} 1.8-0: Using ‘Mathjax’ in Rd Files - diffify
• {CoImp} 2.1.0: Parametric and Nonparametric Copula-Based Imputation Methods - diffify
• {partitions} 1.10-9: Additive Partitions of Integers - diffify
• {orthGS} 0.1.8: Orthology vs Paralogy Relationships among Glutamine Synthetase from Plants - diffify
• {modsem} 1.0.8: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM) - diffify
• {Davies} 1.2-1: The Davies Quantile Function - diffify
• {Rramas} 0.1-8: Matrix Population Models - diffify
• {RcmdrPlugin.BWS1} 0.3-0: R Commander Plug-in for Case 1 Best-Worst Scaling - diffify
• {pvclass} 1.4.1: P-Values for Classification - diffify
• {NScluster} 1.3.6-4: Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models - diffify
• {hdflex} 0.3.1: High-Dimensional Aggregate Density Forecasts - diffify
• {fqadata} 1.1.1: Contains Regional Floristic Quality Assessment Databases - diffify
• {fqacalc} 1.1.1: Calculate Floristic Quality Assessment Metrics - diffify
• {eatRep} 0.15.2: Educational Assessment Tools for Replication Methods - diffify
• {RNetCDF} 2.11-1: Interface to ‘NetCDF’ Datasets - diffify
• {tinytiger} 0.0.10: Lightweight Interface to TIGER/Line Shapefiles - diffify
• {pins} 1.4.1: Pin, Discover, and Share Resources - diffify
• {fairml} 0.9: Fair Models in Machine Learning - diffify
• {boral} 2.0.3: Bayesian Ordination and Regression AnaLysis - diffify
• {EGRET} 3.0.11: Exploration and Graphics for RivEr Trends - diffify
• {tgram} 0.2-4: Compute and Plot Tracheidograms - diffify
• {selectspm} 0.7: Select Point Pattern Models Based on Minimum Contrast, AIC and Goodness of Fit - diffify
• {redistmetrics} 1.0.9: Redistricting Metrics - diffify
• {gimme} 0.8: Group Iterative Multiple Model Estimation - diffify
• {tidyfit} 0.7.4: Regularized Linear Modeling with Tidy Data - diffify
• {semsfa} 1.2: Semiparametric Estimation of Stochastic Frontier Models - diffify
• {GetBCBData} 0.9.0: Imports Datasets from BCB (Central Bank of Brazil) using Its Official API - diffify
• {enmpa} 0.2.0: Ecological Niche Modeling using Presence-Absence Data - diffify
• {duckspatial} 0.2.0: R Interface to ‘DuckDB’ Database with Spatial Extension - diffify
• {tabs} 0.1.1: Temporal Altitudinal Biogeographic Shifts - diffify
• {summarytools} 1.1.4: Tools to Quickly and Neatly Summarize Data - diffify
• {portion} 0.1.1: Extracting a Data Portion - diffify
• {pedtools} 2.8.1: Creating and Working with Pedigrees and Marker Data - diffify
• {normalize} 0.1.1: Centering and Scaling of Numeric Data - diffify
• {modEvA} 3.34: Model Evaluation and Analysis - diffify
• {BeviMed} 6.0: Bayesian Evaluation of Variant Involvement in Mendelian Disease - diffify
• {amerika} 0.1.1: American Politics-Inspired Color Palette Generator - diffify
• {LearnNonparam} 1.2.8: ‘R6’-Based Flexible Framework for Permutation Tests - diffify
• {AsyK} 1.5.6: Kernel Density Estimation - diffify
• {aion} 1.5.0: Archaeological Time Series - diffify
• {XLConnect} 1.2.1: Excel Connector for R - diffify
• {tidytuesdayR} 1.2.1: Access the Weekly ‘TidyTuesday’ Project Dataset - diffify
• {RAGFlowChainR} 0.1.2: Retrieval-Augmented Generation (RAG) Workflows in R with Local and Web Search - diffify
• {pedmut} 0.9.0: Mutation Models for Pedigree Likelihood Computations - diffify
• {WaveletComp} 1.2: Computational Wavelet Analysis - diffify
• {sscor} 0.2.1: Robust Correlation Estimation and Testing Based on Spatial Signs - diffify
• {mlt} 1.6-4: Most Likely Transformations - diffify
• {rptR} 0.9.23: Repeatability Estimation for Gaussian and Non-Gaussian Data - diffify
• {duckdb} 1.2.2: DBI Package for the DuckDB Database Management System - diffify
• {volesti} 1.1.2-9: Volume Approximation and Sampling of Convex Polytopes - diffify
• {classGraph} 0.7-7: Construct Graphs of S4 Class Hierarchies - diffify
• {statgenHTP} 1.0.8: High Throughput Phenotyping (HTP) Data Analysis - diffify
• {lspartition} 0.5: Nonparametric Estimation and Inference Procedures using Partitioning-Based Least Squares Regression - diffify
• {LLMAgentR} 0.2.2: Language Model Agents in R for AI Workflows and Research - diffify
• {NHSRwaitinglist} 0.1.1: Waiting List Metrics Using Queuing Theory - diffify
• {checked} 0.2.8: Systematically Run R CMD Checks - diffify
• {unisensR} 0.3.4: Read ‘Unisens’ Data - diffify
• {JOPS} 0.2.0: Practical Smoothing with P-Splines - diffify
• {BFS} 0.5.13: Get Data from the Swiss Federal Statistical Office - diffify
• {RcmdrPlugin.DCE} 0.3-0: R Commander Plug-in for Discrete Choice Experiments - diffify
• {LWFBrook90R} 0.6.2: Simulate Evapotranspiration and Soil Moisture with the SVAT Model LWF-Brook90 - diffify
• {colorfindr} 0.1.5: Extract Colors from Windows BMP, JPEG, PNG, TIFF, and SVG Format Images - diffify
• {rankhazard} 1.1.1: Rank-Hazard Plots - diffify
• {exams} 2.4-2: Automatic Generation of Exams in R - diffify
• {Surrogate} 3.4.1: Evaluation of Surrogate Endpoints in Clinical Trials - diffify
• {RcmdrPlugin.BWS3} 0.3-0: R Commander Plug-in for Case 3 Best-Worst Scaling - diffify
• {splithalfr} 3.0.0: Estimate Split-Half Reliabilities - diffify
• {datamedios} 1.2.0: Scraping Chilean Media - diffify
• {SAMtool} 1.8.1: Stock Assessment Methods Toolkit - diffify
• {rlandfire} 2.0.0: Interface to ‘LANDFIRE Product Service’ API - diffify
• {zen4R} 0.10.1: Interface to ‘Zenodo’ REST API - diffify
• {tabr} 0.5.2: Music Notation Syntax, Manipulation, Analysis and Transcription in R - diffify
• {prodlim} 2025.04.28: Product-Limit Estimation for Censored Event History Analysis - diffify
• {metasnf} 2.1.2: Meta Clustering with Similarity Network Fusion - diffify
• {heimdall} 1.0.737: Drift Adaptable Models - diffify
• {astrochron} 1.5: A Computational Tool for Astrochronology - diffify
• {lme4breeding} 1.0.60: Relationship-Based Mixed-Effects Models - diffify
• {fastbeta} 0.4.0: Fast Approximation of Time-Varying Infectious Disease Transmission Rates - diffify
• {r2glmm} 0.1.3: Computes R Squared for Mixed (Multilevel) Models - diffify
• {NNS} 11.3: Nonlinear Nonparametric Statistics - diffify
• {MDSMap} 1.3: High Density Genetic Linkage Mapping using Multidimensional Scaling - diffify
• {ARDECO} 2.2.2: Annual Regional Database of the European Commission (ARDECO) - diffify
• {tesselle} 1.6.0: Easily Install and Load ‘tesselle’ Packages - diffify
• {surveytable} 0.9.7: Formatted Survey Estimates - diffify
• {ebvcube} 0.5.0: Working with netCDF for Essential Biodiversity Variables - diffify
• {dexter} 1.6.1: Data Management and Analysis of Tests - diffify
• {daltoolbox} 1.1.747: Leveraging Experiment Lines to Data Analytics - diffify

  CRANberries NEW:

• {multilaterals} 2.0: Transitive Index Numbers for Cross-Sections and Panel Data
• {VIProDesign} 0.1.0: A Comprehensive Tool for Protein Design
• {tradeoffaucdim} 0.1.0: Plotting Trade-Off AUC-Dimensionality
• {tgml} 0.1.0: Treed Guided Machine Learning for Personalized Prediction and Precision Diagnostics
• {TDIagree} 0.1.0: Assessment of Agreement using the Total Deviation Index
• {ladder} 0.0.3: Get on to the Slides
• {interprocess} 1.0.0: Mutexes, Semaphores, and Message Queues
• {ibdsegments} 1.0.1: Identity by Descent Probability in Pedigrees
• {colocboost} 1.0.4: Multi-Context Colocalization Analysis for QTL and GWAS Studies Function in Competing Risks
• {circles} 0.1.0: A Small Package for Drawing Various Combinations of Circles
• {figpatch} 0.3.0: Easily Arrange External Figures with Patchwork Alongside ‘ggplot2’ Figures
• {StatTeacherAssistant} 0.0.3: An App that Assists Intro Statistics Instructors with Data Sets
• {rliger} 2.2.0: Linked Inference of Genomic Experimental Relationships
• {statdecideR} 0.1.6: Automated Statistical Analysis and Plotting with CLD
• {robcat} 0.1.0: Robust Categorical Data Analysis
• {Qploidy} 1.0.1: Estimation of Ploidy and Detection of Aneuploidy Using Genotyping Data
• {epts} 1.1.4: Educational Platform Trials Simulator
• {bitfield} 0.6.1: Handle Bitfields to Record Meta Data
• {RCPA} 0.2.6: Consensus Pathway Analysis
• {PosiR} 0.1.2: Post-Selection Inference via Simultaneous Confidence Intervals
• {AccSamplingDesign} 0.0.1: Acceptance Sampling Plans Design
• {ProfileLadder} 0.1.1: Functional Profile Chain Ladder for Claims Reserving
• {SscSrs} 0.1.0: Sample Size Calculator for Estimation of Population Mean and Proportion under SRS
• {SeaSondeR} 0.2.8: Radial Metrics from SeaSonde HF-Radar Data
• {birdnetR} 0.3.2: Deep Learning for Automated (Bird) Sound Identification
• {DWaveNARDL} 0.1.0: Dual Wavelet Based NARDL Model
• {flowTraceR} 0.1.1: Tracing Information Flow for Inter-Software Comparisons in Mass Spectrometry-Based Bottom-Up Proteomics
• {ucsfindustrydocs} 0.1.0: UCSF Industry Documents Library API Wrapper
• {rrda} 0.1.1: Ridge Redundancy Analysis for High-Dimensional Omics Data
• {reactRouter} 0.1.0: ‘React Router’ for ‘shiny’ Apps and ‘Quarto’
• {btrm} 0.1.0: Bayesian Treed Regression Model for Personalized Prediction and
• {snQTL} 0.2: Spectral Network Quantitative Trait Loci (snQTL) Analysis
• {oRaklE} 1.0.0: Multi-Horizon Electricity Demand Forecasting in High Resolution
• {logrxaddin} 0.0.1: Addin for the ‘logrx’ Package
• {DeSciDe} 1.0.0: Tool for Unbiased Literature Searching and Gene List Curation
• {bmabart} 1.0: Bayesian Mediation Analysis Using BART
• {geofi} 1.1.0: Access Finnish Geospatial Data
• {tsissm} 1.0.1: Linear Innovations State Space Unobserved Components Model
• {robustGarch} 0.4.2: Robust Garch(1,1) Model
• {refitgaps} 0.1.1: Reduce the Number of Holes in the School Timetable
• {RADanalysis} 1.0.1: Normalization and Analysis of Rank Abundance Distributions
• {LLMAgentR} 0.2.2: Language Model Agents in R for AI Workflows and Research
• {ggsegmentedtotalbar} 0.1.0: Create a Segmented Total Bar Plot with Custom Annotations and Labels
• {ZEP} 0.1.3: Procedures Related to the Zadeh’s Extension Principle for Fuzzy Data
• {bartXViz} 1.0.3: Visualization of BART and BARP using SHAP
• {xactonomial} 1.0.3: Inference for Functions of Multinomial Parameters
• {orbweaver} 0.18.2: Fast and Efficient Graph Data Structures
• {licoread} 0.1.1: Reads Raw Files from Li-COR Gas Analyzers
• {joker} 0.14.2: Probability Distributions and Parameter Estimation
• {forensicpopdata} 1.0.4: Allele Frequency Data for Human Genetic Markers