compositional.mle
An MLE package rebuilt around composable solvers, then renamed to match.
A side-by-side editorial comparison of cyclocomp and stdmod — release velocity, themes, recent moves, and the top alternatives to consider.
A cyclomatic complexity checker that ships once every couple of years, and lands when it does.
cyclocomp measures cyclomatic complexity of R functions and packages, and is best known as the engine behind lintr's complexity rule. It has three releases in the visible window spread across nearly three years. The current one, 1.1.2, adds a quiet argument to cyclocomp_package_dir(); the two before it, shipped a day apart in 2023, added a large speedup and the package-directory entry point itself.
A moderation-analysis package now pointing users at its own siblings for the harder work.
stdmod computes standardized moderation effects in regression, part of a cluster of R packages from the same author covering moderation, mediation and model comparison. Its release feed is a CRAN-announcement format — several entries carry nothing but a version and a link — and its development has slowed markedly, with the substantive feature work sitting back in 2024. The most recent release is documentation rather than code.
cyclocomp measures cyclomatic complexity of R functions and packages, and is best known as the engine behind lintr's complexity rule. It has three releases in the visible window spread across nearly three years. The current one, 1.1.2, adds a quiet argument to cyclocomp_package_dir(); the two before it, shipped a day apart in 2023, added a large speedup and the package-directory entry point itself.
This is a small tool that reached feature-complete and now moves only when a downstream consumer needs something. Every change in the window is externally contributed, and each addresses a concrete integration need: a function that works on a local package tree rather than an installed one, complexity results sorted so the worst offenders come first, and output suppression for programmatic callers. The 2023 pair shipped a day apart because the new entry point immediately exposed a performance problem on long linear code.
Expect the next change to arrive the same way, as a contributed patch serving a linting or CI workflow rather than as planned development.
stdmod computes standardized moderation effects in regression, part of a cluster of R packages from the same author covering moderation, mediation and model comparison. Its release feed is a CRAN-announcement format — several entries carry nothing but a version and a link — and its development has slowed markedly, with the substantive feature work sitting back in 2024. The most recent release is documentation rather than code.
The clearest signal is the latest release redirecting users toward betaselectr and manymome for tasks stdmod also covers, on the grounds that those packages handle them more comprehensively. That is a package consciously narrowing its scope within a family rather than competing with its siblings. The earlier feature work — conditional effects at chosen moderator values, R-squared increase reporting, print formatting — reads as a stable core that has since been left alone.
Expect stdmod to stay in maintenance while the author's newer packages absorb the overlapping functionality, with future releases likely limited to CRAN compliance and documentation.
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 cyclocomp or stdmod.
An MLE package rebuilt around composable solvers, then renamed to match.
nabla dropped its C++ engine to chase exact derivatives at any order.
Eight months from first release to keyring caching and workload identity.
A research-project workflow package where the interesting work is in the plumbing.
Extreme value sampling in pure upkeep mode, mostly answering to Rcpp and CRAN.
A package retired in 2017 just got rewritten against R's public C API.
See all cyclocomp alternatives → · See all stdmod alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. stdmod is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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. stdmod is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top cyclocomp alternatives in Analytics are ranked by recent ship velocity. Browse the "cyclocomp alternatives" section above for the current picks, or visit /alternatives/cyclocomp for the full list with editorial commentary on each.
Top stdmod alternatives in Analytics are ranked by recent ship velocity. Browse the "stdmod alternatives" section above for the current picks, or visit /alternatives/stdmod for the full list with editorial commentary on each.