Created by Paulo Oliveira
Timely R package releases, Posit updates, and data science case studies
Explore the latest content tracked by R Insight Digest
Introducing an R package for Bayesian estimation of weight matrices in spatial analysis, featuring sequential parameter updating where elements of Ω are updated row-wise in random order per iteration. Ideal for advanced spatial workflows.
vfunc enables compact and readable idioms in R functional programming, addressing a wide class of coding bugs. Boosts reliability for data analysts' daily scripting.
xplainfi is a new R package on the mlr3 ecosystem for global, loss-based feature importance methods in machine learning models, enabling statistical inference. Boosts interpretability for data scientists.
Kickstart tidy machine learning workflows with this beginner tutorial:
Ketchbrook Analytics' open-source workflow delivers fully reproducible model validation reports across environments, vital for regulatory compliance...
mvtnorm on CRAN computes multivariate normal and t probabilities, quantiles, random deviates, and densities – streamlining statistical computations in R data science workflows.
renv is specifically designed to solve R package versions changing over time and breaking code—a must for professional data science reproducibility.
Audit exposes massive discrepancies in six CS packages on identical data/specs:
deltatest 0.2.0 hits CRAN, boosting delta-method Z-tests for A/B experiments with user-level randomization and finer metrics like pageviews.
Key...
Key steps for Windows R users:
MBBEFDLite reaches mature v1.0.0 on CRAN after two years, offering a dependency-light alternative to the full mbbefd package.
Posit deployment snag: Shiny apps run fine locally, but Docker images fail to copy R packages even after creating renv.lock files. Key heads-up for reproducible containerization.
mall package brings LLMs into data frames for R (and Python), e.g., adding summaries or sentiments to review columns via ellmer and Anthropic.
Boost your environmental data workflows: new R package simplifies pulling historic weather data from the KNMI API.
Key R updates for pros:
filter_out() to drop rows intuitively, skipping !/!is.na() hassles.when_any()/when_all() streamline filter...Essential R tools for sports analysts:
