RSS POSTS: ##

RSS POSTS:

• Real-time pricing with a pretrained probabilistic stock return model
• Iterating some sample data
• The Sovereign Tech Fund invests $450,000 in R Foundation to Enhance R’s Sustainability and Security
• #053: Adding llvm Snapshots for R Package Testing
• tinythemes 0.0.4 at CRAN: Micro Maintenance
• #052: Running r-ci with Coverage
• #051: A Neat Little Rcpp Trick
• rOpenSci Code of Conduct Committee Templates
• rOpenSci News Digest, September 2025
• R-multiverse: a new way to publish R packages
• ggplot2 styling
• Uncertainty Analysis: Gold vs. Bitcoin
• Working with CSV Files and JSON Data in Python
• Data Imputation and Scaling with healthyR.ai: A Guide for R Programmers
• Mapply: When You Need to Iterate Over Multiple Inputs
• The Cadence of Behavior-Driven Development
• posit::conf(2025) Recap
• Posit Recognized as “One to Watch” in Snowflake’s Modern Marketing Data Stack Report
• Create a Quarto Document in Positron
• August 2025 Top 40 New CRAN Packages

  CRANberries UPDATED:

• {NNS} 11.6.1: Nonlinear Nonparametric Statistics - diffify
• {broadcast} 0.1.5: Broadcasted Array Operations Like ‘NumPy’ - diffify
• {spStack} 1.1.2: Bayesian Geostatistics Using Predictive Stacking - diffify
• {tfrmt} 0.2.1: Applies Display Metadata to Analysis Results Datasets - diffify
• {isoorbi} 1.5.2: Process Orbitrap Isotopocule Data - diffify
• {dscore} 2.0.0: D-Score for Child Development - diffify
• {distrom} 1.0.2: Distributed Multinomial Regression - diffify
• {TDLM} 1.1.3: Systematic Comparison of Trip Distribution Laws and Models - diffify
• {primerTree} 1.1.0: Visually Assessing the Specificity and Informativeness of Primer Pairs - diffify
• {fastymd} 0.1.4: Fast Utilities for Year Month Day Objects - diffify
• {drclust} 0.1.1: Simultaneous Clustering and (or) Dimensionality Reduction - diffify
• {devtools} 2.4.6: Tools to Make Developing R Packages Easier - diffify
• {roptim} 0.1.7: General Purpose Optimization in R using C++ - diffify
• {HMDHFDplus} 2.0.8: Read Human Mortality Database and Human Fertility Database Data from the Web - diffify
• {HandTill2001} 1.0.3: Multiple Class Area under ROC Curve - diffify
• {fdasrvf} 2.4.2: Elastic Functional Data Analysis - diffify
• {DR.SC} 3.6: Joint Dimension Reduction and Spatial Clustering - diffify
• {bookdown} 0.45: Authoring Books and Technical Documents with R Markdown - diffify
• {stmgp} 1.0.4.2: Rapid and Accurate Genetic Prediction Modeling for Genome-Wide Association or Whole-Genome Sequencing Study Data - diffify
• {RLoptimal} 1.2.2: Optimal Adaptive Allocation Using Deep Reinforcement Learning - diffify
• {BATSS} 1.1.1: Bayesian Adaptive Trial Simulator Software (BATSS) for Generalised Linear Models - diffify
• {datarobot} 2.18.7: ‘DataRobot’ Predictive Modeling API - diffify
• {clinDR} 2.5.2: Simulation and Analysis Tools for Clinical Dose Response Modeling - diffify
• {BayesERtools} 0.2.4: Bayesian Exposure-Response Analysis Tools - diffify
• {RStoolbox} 1.0.2.2: Remote Sensing Data Analysis - diffify
• {rjdworkspace} 1.2.0: Manipulate ‘JDemetra+’ Workspaces - diffify
• {grwat} 0.1: River Hydrograph Separation and Analysis - diffify
• {ResultModelManager} 0.6.2: Result Model Manager - diffify
• {mlr3learners} 0.13.0: Recommended Learners for ‘mlr3’ - diffify
• {GPAbin} 1.1.1: Unifying Multiple Biplot Visualisations into a Single Display - diffify
• {alakazam} 1.4.1: Immunoglobulin Clonal Lineage and Diversity Analysis - diffify
• {rdeps} 0.4: Identify External Packages Used in a Project - diffify
• {easybio} 1.2.3: Comprehensive Single-Cell Annotation and Transcriptomic Analysis Toolkit - diffify
• {asymmetry} 2.0.5: Multidimensional Scaling of Asymmetric Proximities - diffify
• {SchoolDataIT} 0.2.8: Retrieve, Harmonise and Map Open Data Regarding the Italian School System - diffify
• {rfars} 2.0.1: Download and Analyze Crash Data - diffify
• {NMAoutlier} 0.2.1: Detecting Outliers in Network Meta-Analysis - diffify
• {vaccineff} 1.0.1: Estimate Vaccine Effectiveness Based on Different Study Designs - diffify
• {qreport} 1.1-0: Statistical Reporting with ‘Quarto’ - diffify
• {prome} 2.0.1.4: Patient-Reported Outcome Data Analysis with Stan - diffify
• {penalized} 0.9-53: L1 (Lasso and Fused Lasso) and L2 (Ridge) Penalized Estimation in GLMs and in the Cox Model - diffify
• {LMD} 1.2.1: A Self-Adaptive Approach for Demodulating Multi-Component Signal - diffify
• {ggmcmc} 1.5.1.2: Tools for Analyzing MCMC Simulations from Bayesian Inference - diffify
• {tinythemes} 0.0.4: Lightweight Repackaging of ‘Themes’ for ‘ggplot2’ - diffify
• {explore} 1.3.6: Simplifies Exploratory Data Analysis - diffify
• {hmde} 1.2.2: Hierarchical Methods for Differential Equations - diffify
• {chunked} 0.6.1: Chunkwise Text-File Processing for ‘dplyr’ - diffify
• {robustHD} 0.8.2: Robust Methods for High-Dimensional Data - diffify
• {ccaPP} 0.3.5: (Robust) Canonical Correlation Analysis via Projection Pursuit - diffify
• {uisapi} 0.1.1: Access the UNESCO Institute for Statistics API - diffify
• {tidyseurat} 0.8.4: Brings Seurat to the Tidyverse - diffify
• {Sequential} 4.5: Exact Sequential Analysis for Poisson and Binomial Data - diffify
• {mlr3mbo} 0.3.2: Flexible Bayesian Optimization - diffify
• {glmmSeq} 0.5.7: General Linear Mixed Models for Gene-Level Differential Expression - diffify
• {GeoAdjust} 2.0.1: Accounting for Random Displacements of True GPS Coordinates of Data - diffify
• {Deducer} 0.9-1: A Data Analysis GUI for R - diffify
• {cTMed} 1.0.7: Continuous Time Mediation - diffify
• {mgwnbr} 0.3.0: Multiscale Geographically Weighted Negative Binomial Regression - diffify
• {MapperAlgo} 1.0.5: Topological Data Analysis: Mapper Algorithm - diffify
• {hydroloom} 1.1.1: Utilities to Weave Hydrologic Fabrics - diffify
• {shrinkGPR} 1.1.1: Scalable Gaussian Process Regression with Hierarchical Shrinkage Priors - diffify
• {Rilostat} 2.3.4: R Interface to ILOSTAT Open Data - diffify
• {fluxtools} 0.7.1: A ‘shiny’ App for Reproducible QA/QC of Eddy Covariance Data - diffify
• {faux} 1.2.3: Simulation for Factorial Designs - diffify
• {degradr} 1.0.1: Estimating Remaining Useful Life with Linear Mixed Effects Models - diffify
• {ClusROC} 1.0.3: ROC Analysis in Three-Class Classification Problems for Clustered Data - diffify
• {bbk} 0.8.0: Client for Central Bank APIs - diffify
• {SEQTaRget} 1.0.1: Sequential Trial Emulation - diffify
• {qad} 1.0.6: Quantification of Asymmetric Dependence - diffify
• {MultiTraits} 0.6.0: Analyzing and Visualizing Multidimensional Plant Traits - diffify
• {ggredist} 0.0.4: Scales, Geometries, and Extensions of ‘ggplot2’ for Election Mapping - diffify
• {aion} 1.6.0: Archaeological Time Series - diffify
• {tikatuwq} 0.5.1: Water Quality Analysis Tools for the Brazilian Context - diffify
• {PRECAST} 1.7: Embedding and Clustering with Alignment for Spatial Omics Datasets - diffify
• {meteospain} 0.2.2: Access to Spanish Meteorological Stations Services - diffify
• {climate} 1.2.4: Interface to Download Meteorological (and Hydrological) Datasets - diffify
• {systemfonts} 1.3.1: System Native Font Finding - diffify
• {redist} 4.3.1: Simulation Methods for Legislative Redistricting - diffify
• {PatientProfiles} 1.4.3: Identify Characteristics of Patients in the OMOP Common Data Model - diffify
• {lpirfs} 0.2.5: Local Projections Impulse Response Functions - diffify
• {CB2} 1.3.6: CRISPR Pooled Screen Analysis using Beta-Binomial Test - diffify
• {multilevLCA} 2.1.1: Estimates and Plots Single-Level and Multilevel Latent Class Models - diffify
• {geneviewer} 0.1.11: Gene Cluster Visualizations - diffify
• {cylcop} 0.2.1: Circular-Linear Copulas with Angular Symmetry for Movement Data - diffify
• {RchivalTag} 0.2.2: Analyzing and Interactive Visualization of Archival Tagging Data - diffify
• {checkglobals} 0.1.4: Static Analysis of R-Code Dependencies - diffify
• {radiant.model} 1.6.8: Model Menu for Radiant: Business Analytics using R and Shiny - diffify
• {patterncausality} 0.2.3: Pattern Causality Algorithm - diffify
• {fireexposuR} 1.2.0: Compute and Visualize Wildfire Exposure - diffify
• {dartR.base} 1.0.7: Analysing ‘SNP’ and ‘Silicodart’ Data - Basic Functions - diffify
• {confidenceCurves} 0.2.0: Frequentist Confidence Analysis for Clinical Trials - diffify
• {bage} 0.9.6: Bayesian Estimation and Forecasting of Age-Specific Rates - diffify
• {VertexWiseR} 1.4.2: Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal Surface - diffify
• {stepmetrics} 1.0.3: Calculate Step and Cadence Metrics from Wearable Data - diffify
• {pvEBayes} 0.1.2: Empirical Bayes Methods for Pharmacovigilance - diffify
• {nanonext} 1.7.1: NNG (Nanomsg Next Gen) Lightweight Messaging Library - diffify
• {ggDNAvis} 0.3.0: ‘ggplot2’-Based Tools for Visualising DNA Sequences and Modifications - diffify
• {GEint} 1.1: Misspecified Models for Gene-Environment Interaction - diffify
• {fishgrowth} 1.0.3: Fit Growth Curves to Fish Data - diffify
• {CFtime} 1.7.1: Using CF-Compliant Calendars with Climate Projection Data - diffify
• {predict3d} 0.1.6: Draw Three Dimensional Predict Plot Using Package ‘rgl’ - diffify
• {PathwayVote} 0.1.2: Robust Pathway Enrichment for DNA Methylation Studies Using Ensemble Voting - diffify
• {jstable} 1.3.18: Create Tables from Different Types of Regression - diffify
• {jskm} 0.5.20: Kaplan-Meier Plot with ‘ggplot2’ - diffify
• {dominanceanalysis} 2.1.1: Dominance Analysis - diffify
• {COINT} 0.0.2: Unit Root Tests with Structural Breaks and Fully-Modified Estimators - diffify
• {tiledb} 0.33.0: Modern Database Engine for Complex Data Based on Multi-Dimensional Arrays - diffify
• {GDILM.SEIRS} 0.0.4: Spatial Modeling of Infectious Disease with Reinfection - diffify
• {SSN2} 0.3.1: Spatial Modeling on Stream Networks - diffify
• {RcppEnsmallen} 0.3.10.0.1: Header-Only C++ Mathematical Optimization Library for ‘Armadillo’ - diffify
• {ModelMap} 3.4.0.8: Modeling and Map Production using Random Forest and Related Stochastic Models - diffify
• {exametrika} 1.6.3: Test Theory Analysis and Biclustering - diffify
• {writeAlizer} 1.6.5: Generate Predicted Writing Quality Scores - diffify
• {LearnNonparam} 1.3.0: ‘R6’-Based Flexible Framework for Permutation Tests - diffify
• {calidad} 0.8.2: Assesses the Quality of Estimates Made by Complex Sample Designs - diffify
• {bdsm} 0.3.0: Bayesian Dynamic Systems Modeling - diffify
• {toxEval} 1.4.1: Exploring Biological Relevance of Environmental Chemistry Observations - diffify
• {skpr} 1.9.2: Design of Experiments Suite: Generate and Evaluate Optimal Designs - diffify
• {phm} 2.1.2: Phrase Mining - diffify
• {speakeasyR} 0.1.8: Fast and Robust Multi-Scale Graph Clustering - diffify
• {CohortCharacteristics} 1.0.1: Summarise and Visualise Characteristics of Patients in the OMOP CDM - diffify
• {surveytable} 0.9.10: Streamlining Complex Survey Estimation and Reliability Assessment in R - diffify
• {RBaM} 1.1.1: Bayesian Modeling: Estimate a Computer Model and Make Uncertain Predictions - diffify
• {NADA2} 2.0.1: Data Analysis for Censored Environmental Data - diffify
• {StepReg} 1.6.0: Stepwise Regression Analysis - diffify
• {MiscMetabar} 0.14.4: Miscellaneous Functions for Metabarcoding Analysis - diffify
• {backbone} 3.0.1: Extracts the Backbone from Networks - diffify
• {rodeo} 0.9.2: A Code Generator for ODE-Based Models - diffify
• {lmfor} 1.7: Functions for Forest Biometrics - diffify
• {booami} 0.1.1: Component-Wise Gradient Boosting after Multiple Imputation - diffify
• {tok} 0.2.1: Fast Text Tokenization - diffify
• {spatialising} 0.6.2: Ising Model for Spatial Data - diffify
• {sgs} 0.3.9: Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control - diffify
• {psbcSpeedUp} 2.1.0: Penalized Semiparametric Bayesian Cox Models - diffify
• {myClim} 1.5.0: Microclimatic Data Processing - diffify
• {dfr} 0.1.6: Dual Feature Reduction for SGL - diffify
• {spBFA} 1.4.0: Spatial Bayesian Factor Analysis - diffify
• {manydata} 1.1.3: Many Global Governance Datacubes - diffify
• {kstMatrix} 1.3-0: Basic Functions in Knowledge Space Theory Using Matrix Representation - diffify
• {surveydown} 0.13.3: Markdown-Based Programmable Surveys Using ‘Quarto’ and ‘shiny’ - diffify
• {randomForestSRC} 3.4.2: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) - diffify
• {ivo.table} 0.7.0: Nicely Formatted Contingency Tables and Frequency Tables - diffify
• {stRoke} 25.9.2: Clinical Stroke Research - diffify
• {RcppCWB} 0.6.10: ‘Rcpp’ Bindings for the ‘Corpus Workbench’ (‘CWB’) - diffify
• {openssl} 2.3.4: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL - diffify
• {satin} 1.2.0: Visualisation and Analysis of Ocean Data Derived from Satellites - diffify
• {rpaleoclim} 1.1.0: Download Paleoclimate Data from ‘PaleoClim’ - diffify
• {rmarchingcubes} 0.1.4: Calculate 3D Contour Meshes Using the Marching Cubes Algorithm - diffify
• {pollen} 0.83.0: Analysis of Aerobiological Data - diffify
• {OSMscale} 0.5.23: Add a Scale Bar to ‘OpenStreetMap’ Plots - diffify
• {GABB} 0.3.10: Facilitation of Data Preparation and Plotting Procedures for RDA and PCA Analyses - diffify
• {rstanarm} 2.32.2: Bayesian Applied Regression Modeling via Stan - diffify
• {pdSpecEst} 1.2.6: An Analysis Toolbox for Hermitian Positive Definite Matrices - diffify
• {spatialEco} 2.0-3: Spatial Analysis and Modelling Utilities - diffify
• {prolsirm} 0.1.1: Procrustes Matching for Latent Space Item Response Model - diffify
• {SFDesign} 0.1.3: Space-Filling Designs - diffify
• {MSEtool} 3.7.5: Management Strategy Evaluation Toolkit - diffify
• {geodata} 0.6-6: Access Geographic Data - diffify
• {thematic} 0.1.8: Unified and Automatic ‘Theming’ of ‘ggplot2’, ‘lattice’, and ‘base’ R Graphics - diffify
• {rENA} 0.3.0: Epistemic Network Analysis - diffify
• {PortfolioTesteR} 0.1.2: Test Investment Strategies with English-Like Code - diffify
• {OpenStreetMap} 0.4.1: Access to Open Street Map Raster Images - diffify
• {spsurvey} 5.6.0: Spatial Sampling Design and Analysis - diffify
• {delimtools} 0.2.1: Helper Functions for Species Delimitation Analysis - diffify
• {bgmfiles} 0.1.0: Example BGM Files for the Atlantis Ecosystem Model - diffify
• {Zseq} 0.2.2: Integer Sequence Generator - diffify
• {psgp} 0.3-25: Projected Spatial Gaussian Process Methods - diffify
• {oceanmap} 0.1.7: A Plotting Toolbox for 2D Oceanographic Data - diffify
• {EntropicStatistics} 0.1.3: Functions Based on Entropic Statistics - diffify
• {ColombiAPI} 0.3.0: Access Colombian Data via APIs and Curated Datasets - diffify
• {clusterability} 0.2.1.0: Performs Tests for Cluster Tendency of a Data Set - diffify
• {ubms} 1.2.8: Bayesian Models for Data from Unmarked Animals using ‘Stan’ - diffify
• {spCP} 1.4.0: Spatially Varying Change Points - diffify
• {sentopics} 0.7.5: Tools for Joint Sentiment and Topic Analysis of Textual Data - diffify
• {jackalope} 1.1.6: A Swift, Versatile Phylogenomic and High-Throughput Sequencing Simulator - diffify
• {ggRtsy} 1.2.1: Add Some Van Gogh Colors and Overlay Colors on Your ‘ggplot()’ - diffify
• {PEPBVS} 2.2: Bayesian Variable Selection using Power-Expected-Posterior Prior - diffify
• {MR.RGM} 0.0.5: Multivariate Bidirectional Mendelian Randomization Networks - diffify
• {fdesigns} 1.2: Optimal Experimental Designs for Dynamic/Functional Models - diffify
• {bioimagetools} 1.1.9: Tools for Microscopy Imaging - diffify
• {RAthena} 2.6.3: Connect to ‘AWS Athena’ using ‘Boto3’ (‘DBI’ Interface) - diffify
• {optconerrf} 1.0.1: Optimal Monotone Conditional Error Functions - diffify
• {kinesis} 0.3.1: ‘shiny’ Applications for the ‘tesselle’ Packages - diffify
• {khroma} 1.17.0: Colour Schemes for Scientific Data Visualization - diffify
• {rdracor} 1.0.6: Access to the ‘DraCor’ API - diffify
• {bioseq} 0.1.5: A Toolbox for Manipulating Biological Sequences - diffify
• {workspace} 0.1.6: Manage Collections of Datasets and Objects - diffify
• {SpatMCA} 1.0.7: Regularized Spatial Maximum Covariance Analysis - diffify
• {PracTools} 1.7: Designing and Weighting Survey Samples - diffify
• {glmmrBase} 1.1.0: Generalised Linear Mixed Models in R - diffify
• {epiR} 2.0.87: Tools for the Analysis of Epidemiological Data - diffify
• {tilemaps} 0.2.1: Generate Tile Maps - diffify
• {ASML} 1.1.0: Algorithm Portfolio Selection with Machine Learning - diffify
• {tinytable} 0.14.0: Simple and Configurable Tables in ‘HTML’, ‘LaTeX’, ‘Markdown’, ‘Word’, ‘PNG’, ‘PDF’, and ‘Typst’ Formats - diffify
• {openxlsx2} 1.20: Read, Write and Edit ‘xlsx’ Files - diffify
• {conMItion} 0.2.1: Conditional Mutual Information Estimation for Multi-Omics Data - diffify
• {timeordered} 1.0.2: Time-Ordered and Time-Aggregated Network Analyses - diffify

  CRANberries NEW:

• {BioMoR} 0.1.0: Bioinformatics Modeling with Recursion and Autoencoder-Based Ensemble
• {adcontabil} 1.0.4: Accounting Analysis
• {topologyR} 0.1.1: Topological Connectivity Analysis for Numeric Data
• {CORPlot} 1.0.2: Cumulative Odds Ratio Plot
• {plotlsirm} 0.1.3: Plot Toolkit for Latent Space Item Response Models
• {PhytoIn} 0.2.0: Vegetation Analysis and Forest Inventory
• {LePage} 1.0: LePage Type Tests
• {ExtendedABSurvTDC} 0.1.0: Survival Analysis using Indicators under Time Dependent Covariates
• {EpiPvr} 0.0.1: Estimating Plant Pathogen Epidemiology Parameters from Laboratory Assays
• {descsuppR} 1.2: Support Functions for (Reproducible) Descriptive Statistics
• {bakerrr} 0.1.0: Background-Parallel Jobs
• {readepi} 1.0.1: Read Data from Relational Database Management Systems and Health Information Systems
• {FDOTT} 0.1.0: Optimal Transport Based Testing in Factorial Design
• {eDNAfuns} 0.1.0: Working with Metabarcoding Data in a Tidy Format
• {boxTest} 0.1.0: Boxplot and Significance Test for Two Groups
• {BlockwiseRankTest} 0.1.0: Block-Wise Rank in Similarity Graph Edge-Count Two-Sample Test (BRISE)
• {torchMAUM} 2025.7.30: Multi-Class Area Under the Minimum in Torch
• {writeAlizer} 1.6.5: Generate Predicted Writing Quality Scores
• {TwoDcDAPSA} 0.1.0: Calculate TwoDcDAPSA: PROs-Joint Contrast (PJC) Score and Quartiles
• {twbparser} 0.2.3: Parse ‘Tableau’ Workbooks into Functional Data
• {tidyusmacro} 0.1.0: Downloading and Cleaning U.S. Macroeconomic Data
• {streamsampler} 0.1.0: Characterize and Subsample Stream Data
• {splineplot} 0.1.1: Visualization of Spline Effects in GAM and GLM Models
• {SFHNV} 0.1.0: Structural Forest for the Heterogeneous Newsvendor Model
• {powergrid} 0.5.0: Power Analysis Across a Grid of Assumptions
• {houba} 0.1.0: Manipulation of (Large) Memory-Mapped Objects (Vectors, Matrices and Arrays)
• {blox} 0.0.1: Block Diagonal Matrix Approximation
• {ZIDW} 0.1.0: Zero-Inflated Discrete Weibull Models
• {rcldf} 1.5.1: Read Linguistic Data in the Cross Linguistic Data Format (CLDF)
• {radviz3d} 2.3.0: 3D Radial Visualization
• {OmopConstructor} 0.1.0: Build Tables in the OMOP Common Data Model
• {nonParQuantileCausality} 0.1.0: Nonparametric Causality in Quantiles Test
• {myownrobs} 0.1.0: AI Coding Agent for ‘RStudio’
• {mammalcol} 0.2.9: Access to the List of Mammal Species of Colombia
• {foodwebr} 1.0.0: Visualise Function Dependencies
• {DyadRatios} 1.2: Dyad Ratios Algorithm
• {docorator} 0.5.0: Docorate (Decorate + Output) Displays
• {coglyphr} 1.0.4: Compute Glyph Centers of Gravity from Image Data
• {captain} 1.1.1: Running ‘git’ Pre-Commit Hooks
• {whapi} 0.0.2: R Client for ‘whapi.cloud’
• {SHAPBoost} 1.0.0: The SHAPBoost Feature Selection Algorithm
• {BOP2FE} 1.0.3: Bayesian Optimal Phase II Design with Futility and Efficacy Stopping Boundaries