RSS POSTS: ##

RSS POSTS:

Contributing to base R with Coding Equity and Joy - Inside the R Contributors Project
Crops, Code, and Community Build R-Mob User Group in Australia
RcppSpdlog 0.0.26 on CRAN: Another Microfix
RcppSpdlog 0.0.25 on CRAN: Microfix
RcppSimdJson 0.1.15 on CRAN: New Upstream, Some Maintenance
gunsales 0.1.3 on CRAN: Maintenance
RcppAnnoy 0.0.23 on CRAN: Several Updates
RApiDatetime 0.0.10 on CRAN: Maintenance
RProtoBuf 0.4.25 on CRAN: Mostly Maintenance
Open call for the rOpenSci Champions Program 2026!
Gold/Silver Ratio: GenAI with Quant Agent on Azure AI Foundry
How to create a more accessible line chart
We Built a Clinical Trials AI Assistant in Hours - Here’s What Actually Worked
Setting Up A Cluster of Tiny PCs For Parallel Computing - A Note To Myself
AI Newsletter 2026-01-16
Vibes are not a Metric: A Guide to LLM Evals in Python
Posit::conf(2026) Call for Talks
What’s New in Posit Workbench 2026.01.0: Enhanced Admin Settings, Flexible Access Across Providers and Smarter Jobs
2025 Posit Open Source Year in Review
Governance, Speed, and Scale: How to Eliminate Enterprise Data Science Bottlenecks with Posit
Host Panel Apps on Posit Connect
admiral 1.4 release
Weekly Recap (January 16, 2026)
Biotechnology and AI: Technological Convergence and Information Hazards (Part 1)
OpenAI and Anthropic launch life sciences research and healthcare connectors
The Importance of Indigenous Voices in Conservation Genomics
My First Look at Claude Code
CRANberries UPDATED:
{rappdirs} 0.3.4: Application Directories: Determine Where to Save Data, Caches, and Logs - diffify
{fastmatch} 1.1-8: Fast ‘match()’ Function - diffify
{bartMachine} 1.3.4.1: Bayesian Additive Regression Trees - diffify
{traineR} 2.2.10: Predictive (Classification and Regression) Models Homologator - diffify
{spatstat.univar} 3.1-6: One-Dimensional Probability Distribution Support for the ‘spatstat’ Family - diffify
{mllrnrs} 0.0.8: R6-Based ML Learners for ‘mlexperiments’ - diffify
{mapSpain} 1.0.0: Administrative Boundaries of Spain - diffify
{gtExtras} 0.6.2: Extending ‘gt’ for Beautiful HTML Tables - diffify
{ggformula} 1.0.1: Formula Interface to the Grammar of Graphics - diffify
{aqp} 2.3: Algorithms for Quantitative Pedology - diffify
{Rd2roxygen} 1.18: Convert Rd to ‘Roxygen’ Documentation - diffify
{dibble} 0.3.2: Dimensional Data Frames - diffify
{adverbial} 0.2.1: Enhanced Adverbial Functions - diffify
{iNZightTS} 2.0.3: Time Series for ‘iNZight’ - diffify
{esci} 1.0.9: Estimation Statistics with Confidence Intervals - diffify
{jpinfect} 0.1.10: Acquiring and Processing Data from Japan Institute for Health Security - diffify
{dmutate} 0.2.0: Mutate Data Frames with Random Variates - diffify
{autonewsmd} 0.1.0: Auto-Generate Changelog using Conventional Commits - diffify
{yamlet} 1.3.2: Versatile Curation of Table Metadata - diffify
{wpa} 1.10.1: Tools for Analysing and Visualising Viva Insights Data - diffify
{RcppThread} 2.3.0: R-Friendly Threading in C++ - diffify
{officer} 0.7.3: Manipulation of Microsoft Word and PowerPoint Documents - diffify
{GeoTox} 0.3.0: Spatiotemporal Mixture Risk Assessment - diffify
{stringdist} 0.9.17: Approximate String Matching, Fuzzy Text Search, and String Distance Functions - diffify
{roads} 1.2.1: Road Network Projection - diffify
{rioplot} 1.1.2: Turn a Regression Model Inside Out - diffify
{ranger} 0.18.0: A Fast Implementation of Random Forests - diffify
{ProduceR} 1.1: Concise and Efficient Tools for Everyday Statistical Production - diffify
{OutSeekR} 1.1.0: Statistical Approach to Outlier Detection in RNA-Seq and Related Data - diffify
{mlexperiments} 1.0.0: Machine Learning Experiments - diffify
{midr} 0.5.3: Learning from Black-Box Models by Maximum Interpretation Decomposition - diffify
{exvatools} 1.0.0: Value Added in Exports and Other Input-Output Table Analysis Tools - diffify
{vivainsights} 0.7.1: Analyze and Visualize Data from ‘Microsoft Viva Insights’ - diffify
{RcppSpdlog} 0.0.26: R and C++ Interfaces to ‘spdlog’ C++ Header Library for Logging - diffify
{ecodive} 2.2.2: Parallel and Memory-Efficient Ecological Diversity Metrics - diffify
{trendsegmentR} 1.3.2: Linear Trend Segmentation - diffify
{slendr} 1.4.0: A Simulation Framework for Spatiotemporal Population Genetics - diffify
{future} 1.69.0: Unified Parallel and Distributed Processing in R for Everyone - diffify
{renv} 1.1.6: Project Environments - diffify
{drgee} 1.1.10-4: Doubly Robust Generalized Estimating Equations - diffify
{tipse} 1.2: Tipping Point Analysis for Survival Endpoints - diffify
{tikatuwq} 0.8.2: Water Quality Assessment and Environmental Compliance in Brazil - diffify
{srcr} 1.1.2: Simplify Connections to Database Sources - diffify
{rix} 0.17.4: Reproducible Data Science Environments with ‘Nix’ - diffify
{RCaucTile} 1.0.3: Tile Grid Maps for East Caucasian Languages - diffify
{pzfx} 0.3.1: Read and Write ‘GraphPad Prism’ Files - diffify
{JFM} 1.0.1: Rock Mass Structural Analysis from 3D Mesh of Point Cloud - diffify
{ggtangle} 0.1.1: Draw Network with Data - diffify
{dataviewR} 1.0.1: An Interactive and Feature-Rich Data Viewer - diffify
{BeeBDC} 1.3.2: Occurrence Data Cleaning - diffify
{vctrs} 0.7.0: Vector Helpers - diffify
{runExamplesWrapper} 1.1: Wrapper for ‘run_examples()’ - diffify
{rofanova} 1.0.1: Robust Functional Analysis of Variance - diffify
{projectLSA} 0.0.6: R Shiny Application for Latent Structure Analysis with a Graphical User Interface - diffify
{GE} 0.5.4: General Equilibrium Modeling - diffify
{connectapi} 0.10.0: Utilities for Interacting with the ‘Posit Connect’ Server API - diffify
{bcRP} 1.0.2: Access ‘BCRPDATA’ API - diffify
{admiralophtha} 1.4.0: ADaM in R Asset Library - Ophthalmology - diffify
{svyVGAM} 1.3: Design-Based Inference in Vector Generalised Linear Models - diffify
{rstudioapi} 0.18.0: Safely Access the RStudio API - diffify
{openxlsx2} 1.23: Read, Write and Edit ‘xlsx’ Files - diffify
{ncf} 1.3-3: Spatial Covariance Functions - diffify
{jtools} 2.3.1: Analysis and Presentation of Social Scientific Data - diffify
{himach} 1.0.1: Find Routes for Supersonic Aircraft - diffify
{FRK} 2.3.2: Fixed Rank Kriging - diffify
{emld} 0.5.3: Ecological Metadata as Linked Data - diffify
{cgam} 1.30: Constrained Generalized Additive Model - diffify
{survival} 3.8-6: Survival Analysis - diffify
{pdxTrees} 0.5.0: Data Package of Portland, Oregon Trees - diffify
{triplediff} 0.2.0: Triple-Difference Estimators - diffify
{netgsa} 4.0.7: Network-Based Gene Set Analysis - diffify
{rocbc} 3.2.0: Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves - diffify
{multiDEGGs} 1.1.2: Multi-Omic Differentially Expressed Gene-Gene Pairs - diffify
{heterometa} 0.4: Convert Various Meta-Analysis Heterogeneity Measures - diffify
{demodelr} 2.0.1: Simulating Differential Equations with Data - diffify
{squat} 0.5.0: Statistics for Quaternion Temporal Data - diffify
{rotl} 3.1.1: Interface to the ‘Open Tree of Life’ API - diffify
{psrwe} 3.2: PS-Integrated Methods for Incorporating Real-World Evidence in Clinical Studies - diffify
{power.transform} 1.0.3: Location and Scale Invariant Power Transformations - diffify
{genderBR} 1.2.0: Predict Gender from Brazilian First Names - diffify
{equateMultiple} 1.1.3: Equating of Multiple Forms - diffify
{BeeGUTS} 1.5.0: General Unified Threshold Model of Survival for Bees using Bayesian Inference - diffify
{plotbb} 0.1.0: Grammar of Graphics for ‘base’ Plot - diffify
{survHE} 2.0.51: Survival Analysis in Health Economic Evaluation - diffify
{rerddap} 1.2.2: General Purpose Client for ‘ERDDAP™’ Servers - diffify
{DRIP} 2.4: Discontinuous Regression and Image Processing - diffify
{WRTDStidal} 1.1.5: Weighted Regression for Water Quality Evaluation in Tidal Waters - diffify
{tabuSearch} 1.2.0: Tabu Search Algorithm for Binary Configurations - diffify
{segmented} 2.2-0: Regression Models with Break-Points / Change-Points Estimation (with Possibly Random Effects) - diffify
{carpenter} 0.2.3: Build Common Tables of Summary Statistics for Reports - diffify
{arcgeocoder} 0.3.0: Geocoding with the ‘ArcGIS’ REST API Service - diffify
{wearables} 0.11.3: Tools to Read and Convert Wearables Data - diffify
{secretbase} 1.1.1: Cryptographic Hash, Extendable-Output and Binary Encoding Functions - diffify
{lmSubsets} 0.5-4: Exact Variable-Subset Selection in Linear Regression - diffify
{psp} 1.0.5: Parameter Space Partitioning MCMC for Global Model Evaluation - diffify
{ggmuller} 0.7.0: Create Muller Plots of Evolutionary Dynamics - diffify
{codestral} 0.0.2: Chat and FIM with ‘Codestral’ - diffify
{AdhereRViz} 0.2.2: Adherence to Medications - diffify
{parttree} 0.1.2: Visualize Simple 2-D Decision Tree Partitions - diffify
{junco} 0.1.3: Create Common Tables and Listings Used in Clinical Trials - diffify
{swash} 1.3.1: Swash-Backwash Model for the Single Epidemic Wave - diffify
{graphpcor} 0.1.15: Models for Correlation Matrices Based on Graphs - diffify
{conformalForecast} 0.1.1: Conformal Prediction Methods for Multistep-Ahead Time Series Forecasting - diffify
{orderanalyzer} 1.0.1: Extracting Order Position Tables from PDF-Based Order Documents - diffify
{snowflakeauth} 0.2.1: Authentication Helpers for ‘Snowflake’ - diffify
{shinyjs} 2.1.1: Easily Improve the User Experience of Your Shiny Apps in Seconds - diffify
{SAMtool} 1.9.1: Stock Assessment Methods Toolkit - diffify
{pmetar} 0.7.0: Processing METAR Weather Reports - diffify
{L1pack} 0.62: Routines for L1 Estimation - diffify
{glmmTMB} 1.1.14: Generalized Linear Mixed Models using Template Model Builder - diffify
{forecastHybrid} 5.1.21: Convenient Functions for Ensemble Time Series Forecasts - diffify
{doFuture} 1.2.0: Use Foreach to Parallelize via the Future Framework - diffify
{alabama} 2025.1.0: Constrained Nonlinear Optimization - diffify
{admiral} 1.4.0: ADaM in R Asset Library - diffify
{AdhereR} 0.8.2: Adherence to Medications - diffify
{tEDM} 1.2: Temporal Empirical Dynamic Modeling - diffify
{cpfa} 1.2-5: Classification with Parallel Factor Analysis - diffify
{rasterpic} 0.3.1: Convert Digital Images into ‘SpatRaster’ Objects - diffify
{fastdid} 1.0.6: Fast Staggered Difference-in-Difference Estimators - diffify
{volcano3D} 2.0.11: 3D Volcano Plots and Polar Plots for Three-Class Data - diffify
{raceland} 1.2.2: Pattern-Based Zoneless Method for Analysis and Visualization of Racial Topography - diffify
{MixtureMissing} 3.0.6: Robust and Flexible Model-Based Clustering for Data Sets with Missing Values at Random - diffify
{fdacluster} 0.4.2: Joint Clustering and Alignment of Functional Data - diffify
{crrstep} 2025.1.1: Stepwise Covariate Selection for the Fine & Gray Competing Risks Regression Model - diffify
{vectorsurvR} 1.6.2: Data Access and Analytical Tools for ‘VectorSurv’ Users - diffify
{SVMMaj} 0.2.9.4: Implementation of the SVM-Maj Algorithm - diffify
{sglg} 0.2.6: Fitting Semi-Parametric Generalized log-Gamma Regression Models - diffify
{PKbioanalysis} 0.4.0: Pharmacokinetic Bioanalysis Experiments Design and Exploration - diffify
{neuroim2} 0.8.5: Data Structures for Brain Imaging Data - diffify
{canvasXpress} 1.59.5: Visualization Package for CanvasXpress in R - diffify
{brickset} 2026.0.0: Interface with the Brickset API for Getting Data About LEGO Sets - diffify
{rly} 1.7.8: Tools to Create Formal Language Parser - diffify
{LMest} 3.2.8: Generalized Latent Markov Models - diffify
{TripleR} 1.5.5: Social Relation Model (SRM) Analyses for Single or Multiple Groups - diffify
{postdoc} 1.4.2: Minimal and Uncluttered Package Documentation - diffify
{BayesChange} 2.2.0: Bayesian Methods for Change Point Analysis - diffify
{sits} 1.5.4: Satellite Image Time Series Analysis for Earth Observation Data Cubes - diffify
{hmcdm} 2.1.3: Hidden Markov Cognitive Diagnosis Models for Learning - diffify
{MODISTools} 1.1.6: Interface to the ‘MODIS Land Products Subsets’ Web Services - diffify
{measr} 2.0.0: Bayesian Psychometric Measurement Using ‘Stan’ - diffify
{INLAtools} 0.0.7: Functionalities for the ‘INLA’ Package - diffify
{faviconPlease} 0.2.0: Find the URL to the ‘Favicon’ for a Website - diffify
{camtrapdp} 0.5.0: Read and Manipulate Camera Trap Data Packages - diffify
{survSAKK} 1.3.3: Create Publication Ready Kaplan-Meier Plots - diffify
{RcppSimdJson} 0.1.15: ‘Rcpp’ Bindings for the ‘simdjson’ Header-Only Library for ‘JSON’ Parsing - diffify
{AddiVortes} 0.4.8: (Bayesian) Additive Voronoi Tessellations - diffify
{NMADTA} 0.1.2: Network Meta-Analysis of Multiple Diagnostic Tests - diffify
{grandR} 0.2.7: Comprehensive Analysis of Nucleotide Conversion Sequencing Data - diffify
{sitreeE} 0.0-10: Sitree Extensions - diffify
{distributional} 0.6.0: Vectorised Probability Distributions - diffify
{MedxR} 0.1.1: Access Drug Regulatory Data via FDA and Health Canada APIs - diffify
{MAINT.Data} 2.7.4: Model and Analyse Interval Data - diffify
{blockForest} 0.2.7: Block Forests: Random Forests for Blocks of Clinical and Omics Covariate Data - diffify
{blob} 1.3.0: A Simple S3 Class for Representing Vectors of Binary Data (‘BLOBS’) - diffify
{TrialEmulation} 0.0.4.9: Causal Analysis of Observational Time-to-Event Data - diffify
{tglkmeans} 0.5.8: Efficient Implementation of K-Means++ Algorithm - diffify
{TestGenerator} 0.5.0: Integration Unit Tests for Pharmacoepidemiological Studies - diffify
{SHARK4R} 1.0.3: Accessing and Validating Marine Environmental Data from ‘SHARK’ and Related Databases - diffify
{retroharmonize} 0.2.7: Ex Post Survey Data Harmonization - diffify
{openalexR} 3.0.1: Getting Bibliographic Records from ‘OpenAlex’ Database Using ‘DSL’ API - diffify
{gunsales} 0.1.3: Statistical Analysis of Monthly Background Checks of Gun Purchases - diffify
{counterfactuals} 1.0.0: Counterfactual Explanations - diffify
{admiraldev} 1.4.0: Utility Functions and Development Tools for the Admiral Package Family - diffify
{sarp.snowprofile} 1.4.1: Snow Profile Analysis for Snowpack and Avalanche Research - diffify
{salem} 1.0.1: Provides Access to Salem Witchcraft Data - diffify
{rolog} 0.9.24: Query ‘SWI’-‘Prolog’ from R - diffify
{protti} 1.0.0: Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools - diffify
{morse} 3.3.5: Modelling Reproduction and Survival Data in Ecotoxicology - diffify
{hilbertSimilarity} 0.4.4: Hilbert Similarity Index for High Dimensional Data - diffify
{GeneralizedUmatrixGPU} 0.1.10: Credible Visualization for Two-Dimensional Projections of Data - diffify
{denim} 1.2.3: Generate and Simulate Deterministic Compartmental Models - diffify
{ddpcr} 1.16.0: Analysis and Visualization of Droplet Digital PCR in R and on the Web - diffify
{s20x} 3.2.2: Functions for University of Auckland Course STATS 201/208 Data Analysis - diffify
{RMark} 3.0.6: R Code for Mark Analysis - diffify
{prabclus} 2.3-5: Functions for Clustering and Testing of Presence-Absence, Abundance and Multilocus Genetic Data - diffify
{OPI} 3.0.6: Open Perimetry Interface - diffify
{fpc} 2.2-14: Flexible Procedures for Clustering - diffify
{fastmatrix} 0.6-6: Fast Computation of some Matrices Useful in Statistics - diffify
{epiworldR} 0.11.0.1: Fast Agent-Based Epi Models - diffify
{DALEXtra} 2.3.1: Extension for ‘DALEX’ Package - diffify
{charlatan} 0.6.2: Make Fake Data - diffify
{ArgentinAPI} 0.2.1: Access Argentinian Data via APIs and Curated Datasets - diffify
{xlr} 1.1.0: Create Table Summaries and Export Neat Tables to ‘Excel’ - diffify
{hdf5lib} 2.0.0.5: Headers and Static Libraries for ‘HDF5’ - diffify
{tidyBdE} 0.5.0: Download Data from Bank of Spain - diffify
{IsoriX} 0.9.4: Isoscape Computation and Inference of Spatial Origins using Mixed Models - diffify
{cifti} 0.5.0: Toolbox for Connectivity Informatics Technology Initiative (‘CIFTI’) Files - diffify
{personalized2part} 0.0.2: Two-Part Estimation of Treatment Rules for Semi-Continuous Data - diffify
{nichetools} 0.3.3: Complementary Package to ‘nicheROVER’ and ‘SIBER’ - diffify
{EZFragility} 2.1.1: Compute Neural Fragility for Ictal iEEG Time Series - diffify
{treesitter} 0.3.1: Bindings to ‘Tree-Sitter’ - diffify
{sassy} 1.3.0: Makes ‘R’ Easier for Everyone - diffify
{riskmetric} 0.2.6: Risk Metrics to Evaluating R Packages - diffify
{recforest} 1.0.2: Random Survival Forest for Recurrent Events - diffify
{paws.common} 0.8.8: Paws Low-Level Amazon Web Services API - diffify
{mantis} 1.0.1: Multiple Time Series Scanner - diffify
{clock} 0.7.4: Date-Time Types and Tools - diffify
{survextrap} 1.0.1: Bayesian Flexible Parametric Survival Modelling and Extrapolation - diffify
{phantSEM} 1.0.1: Create Phantom Variables in Structural Equation Models for Sensitivity Analyses - diffify
CRANberries NEW:
{Rwbo} 0.1.1: Run the ‘Open-WBO’ MaxSAT Solver
{ORscraper} 0.1.0: Extract Information from Clinical Reports from ‘Oncomine Reporter’ and NCBI ‘ClinVar’
{NeuDist} 1.0.1: Univariate Continuous Distributions with Model Diagnostics
{ltc} 0.3.0: Collection of Artistic and Nature-Inspired Color Palettes
{IPAG} 0.1.0: Tools for IPAG Courses
{EmpiricalDynamics} 0.1.2: Empirical Discovery of Differential Equations from Time Series Data
{remode} 0.1.0: Recursive Mode Detection for Distributions of Ordinal Data
{NMAR} 0.1.1: Estimation under not Missing at Random Nonresponse
{ggvolc} 0.1.0: Create Volcano Plots for Differential Gene Expression Data
{codyna} 0.1.0: Complex Dynamic Systems
{ankiR} 0.1.0: Read Anki Flashcard Databases
{stddiff.spark} 1.0: Calculate the Standardized Difference for Numeric, Binary and Category Variables in Apache Spark
{PDIndex} 0.1.0: Disease Intensity and Progress Curve Indices for Plant Pathology
{orcidtr} 0.1.0: Retrieve Data from the ORCID Public API
{MRStdLCRT} 0.1.0: Model-Robust Standardization for Longitudinal Cluster-Randomized Trials
{mcanalysis} 0.1.0: Markov Chain Analysis for Structural Behaviour and Stability
{dynamicpv} 0.4.1: Evaluates Present Values and Health Economic Models with Dynamic Pricing and Uptake
{dpGMM} 0.2.2: Dynamic Programming Based Gaussian Mixture Modelling Tool for 1D and 2D Data
{autoFlagR} 1.0.0: AI-Driven Anomaly Detection for Data Quality
{autoann} 0.1.0: Neural Network–Based Model Selection and Forecasting
{staggR} 0.1.1: Fit Difference-in-Differences Models with Staggered Interventions
{rtmsEcho} 0.2.4: Extract and Analyze EchoMS Data from Sciex Wiff Files
{frontmatter} 0.1.0: Parse Front Matter from Documents
{grmtree} 0.1.0: Recursive Partitioning for Graded Response Models
{diagcounts} 0.1.0: Recover Diagnostic Test Accuracy Counts from Reported Accuracy Measures
{blvim} 0.1.1: Boltzmann–Lotka–Volterra Interaction Model
{blastar} 0.1.1: BLAST and Sequence Analysis Tools
{toxdrc} 1.0.1: Pipeline for Dose-Response Curve Analysis
{nimbleQuad} 1.4.0: Laplace Approximation, Quadrature, and Nested Deterministic Approximation Methods for ‘nimble’
{bayesDiagnostics} 0.1.0: Comprehensive Bayesian Model Diagnostics and Comparison Tools
{SRMERS} 0.1.1: Semi-Parametric Shape-Restricted Fixed/Mixed Effect(s) Regression Spline
{rollout} 0.1.0: Tools for Designing, Simulating, and Analyzing Implementation Rollout Trials
{lobbyR} 0.1.0: Get Federal Lobbying Disclosures
{BayesianInference} 0.0.1: Bayesian Inference
{AddiVortes} 0.4.8: (Bayesian) Additive Voronoi Tessellations
{S3VS} 1.0: Structured Screen-and-Select Variable Selection in Linear, Generalized Linear, and Survival Models
{rjd3toolkit} 3.6.0: Utility Functions Around ‘JDemetra+ 3.0’
{vimixr} 0.1.2: Collapsed Variational Inference for Dirichlet Process (DP) Mixture Model
{Styperidge.reg} 0.1.0: S-Type Ridge Regression
{mascarade} 0.3.0: Generating Cluster Masks for Single-Cell Dimensional Reduction Plots
{TensorMCMC} 0.1.0: Tensor Regression with Stochastic Low-Rank Updates
{querychat} 0.2.0: Filter and Query Data Frames in ‘shiny’ Using an LLM Chat Interface
{MorphSim} 0.1.0: Simulate Discrete Character Data along Phylogenetic Trees
{MetaDose} 1.0.1: Dose-Response Meta-Regression for Meta-Analysis
{ggskewboxplots} 1.0.0: Skew Boxplot Geoms for ‘ggplot2’
{stIHC} 0.1.0: Spatial Transcriptomics Iterative Hierarchical Clustering
{grangersearch} 0.1.0: Granger Causality Testing for Time Series
{cre.dcf} 0.0.3: Discounted Cash Flow Tools for Commercial Real Estate
{correctref} 0.0.2: Correct and Standardize References for Scientific Manuscripts
{blockr} 0.1.0: A Block-Based Framework for Data Manipulation and Visualization
{BCSreg} 1.1.0: Box-Cox Symmetric Regression for Non-Negative Data

RSS POSTS: ##

RSS POSTS:

CRANberries UPDATED:

CRANberries NEW: