cIRT
A choice-based IRT model published once in 2019 and kept compiling ever since
A side-by-side editorial comparison of betaselectr and r2dii.analysis — release velocity, themes, recent moves, and the top alternatives to consider.
Standardised coefficients for models where standardising everything is wrong — but the feed only links out
betaselectr computes standardised coefficients selectively, for models where blanket standardisation misleads — interaction terms, categorical predictors and moderated effects, where standardising the product term or a dummy variable produces a number that does not mean what readers assume. It has been on CRAN since November 2024 across three releases. What those releases contain cannot be determined from this feed.
The climate-alignment maths behind PACTA, now stable and maintained rather than reshaped
r2dii.analysis computes the target-setting side of PACTA: market-share and sectoral decarbonisation targets that measure a loan book or portfolio against climate scenarios. It sits downstream of the matched company data the sibling packages produce. The 0.5.0 release declared it lifecycle-stable and handed maintenance to a new lead, and releases since have been narrow corrections rather than new methods.
betaselectr computes standardised coefficients selectively, for models where blanket standardisation misleads — interaction terms, categorical predictors and moderated effects, where standardising the product term or a dummy variable produces a number that does not mean what readers assume. It has been on CRAN since November 2024 across three releases. What those releases contain cannot be determined from this feed.
This changelog carries no release content. Every entry is a pointer to the CRAN page and to a changelog hosted on the package's own site, so the direction of development is not readable from what is published here. What the version numbers alone support is a package that reached CRAN in late 2024 and has issued two patch releases since, at roughly six-month intervals, without a minor version bump.
No prediction is supportable from these entries; the feed would need to carry actual release notes, or the package's own site would need to be read directly, before its direction could be called.
r2dii.analysis computes the target-setting side of PACTA: market-share and sectoral decarbonisation targets that measure a loan book or portfolio against climate scenarios. It sits downstream of the matched company data the sibling packages produce. The 0.5.0 release declared it lifecycle-stable and handed maintenance to a new lead, and releases since have been narrow corrections rather than new methods.
The history is a package converging. Early releases churn the output contract of target_market_share() and target_sda() — which sectors appear, which years, how missing production is treated — and each change alters the numbers users get. The ald-to-abcd rename runs across several releases before completing, and by 0.5.0 the churn has stopped, with three older summarise functions soft-deprecated and the package marked stable. What remains is edge-case correctness in target coverage.
With the package marked stable and the terminology migration finished, the soft-deprecated summarise functions are the obvious next thing to remove outright.
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either betaselectr or r2dii.analysis.
A choice-based IRT model published once in 2019 and kept compiling ever since
The R engine behind MetaboAnalyst closes the gap from raw spectra to biological interpretation
Rebuilding SAS's formatting layer in R, one format specification at a time
Stream-network spatial models learning to run on data that no longer fits in memory
Bioconductor's installer, frozen at 1.30.x and tuned almost entirely through environment variables
Decision curve analysis, settled since 2022 and now moving only when its neighbours do
See all betaselectr alternatives → · See all r2dii.analysis alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. betaselectr and r2dii.analysis are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. betaselectr and r2dii.analysis are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top betaselectr alternatives in Analytics are ranked by recent ship velocity. Browse the "betaselectr alternatives" section above for the current picks, or visit /alternatives/betaselectr for the full list with editorial commentary on each.
Top r2dii.analysis alternatives in Analytics are ranked by recent ship velocity. Browse the "r2dii.analysis alternatives" section above for the current picks, or visit /alternatives/r2dii-analysis for the full list with editorial commentary on each.