compositional.mle
An MLE package rebuilt around composable solvers, then renamed to match.
Comparison · Analytics
cyclocomp vs MultiSpline
A side-by-side editorial comparison of cyclocomp and MultiSpline — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
cyclocomp vs MultiSpline: at a glance
What is cyclocomp?
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.
What is MultiSpline?
MultiSpline went from five functions to a full multilevel spline framework in seven weeks.
MultiSpline fits spline-based nonlinear models to multilevel and longitudinal data in R. The package reached CRAN in February 2026 with five functions covering fitting, summary, prediction, plotting and intraclass correlations. Version 0.2.0, seven weeks later, adds cross-classified and nested random-effect structures, automatic knot selection, a multilevel R-squared variance partition, derivative-based interpretation with turning points, model comparison against polynomials, and cluster heterogeneity analysis, while keeping every 0.1.0 call valid.
cyclocomp vs MultiSpline: editorial side-by-side
cyclocomp
0.0ANALYTICS
A cyclomatic complexity checker that ships once every couple of years, and lands when it does.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
Expect the next change to arrive the same way, as a contributed patch serving a linting or CI workflow rather than as planned development.
MultiSpline
0.0ANALYTICS
MultiSpline went from five functions to a full multilevel spline framework in seven weeks.
◆ Current state
MultiSpline fits spline-based nonlinear models to multilevel and longitudinal data in R. The package reached CRAN in February 2026 with five functions covering fitting, summary, prediction, plotting and intraclass correlations. Version 0.2.0, seven weeks later, adds cross-classified and nested random-effect structures, automatic knot selection, a multilevel R-squared variance partition, derivative-based interpretation with turning points, model comparison against polynomials, and cluster heterogeneity analysis, while keeping every 0.1.0 call valid.
◆ Where it's heading
The arc is a research package being built out into a workflow at speed: 0.1.0 could fit a curve, 0.2.0 can tell you where the curve turns, how much variance each level explains, and whether a spline beats a polynomial at all. Backward compatibility was preserved across that expansion, which suggests the author is building for outside users rather than a single paper. The JOSS submission referenced in 0.1.1 points at academic distribution as the intended channel.
◆ Prediction
With the interpretation and diagnostics layers now in place, the next release will most likely extend the supported model families beyond the current lmer and glmer backends.
Alternatives to cyclocomp and MultiSpline
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 MultiSpline.
nabla
nabla dropped its C++ engine to chase exact derivatives at any order.
snowflakeauth
Eight months from first release to keyring caching and workload identity.
kwb.geosalz
A research-project workflow package where the interesting work is in the plumbing.
revdbayes
Extreme value sampling in pure upkeep mode, mostly answering to Rcpp and CRAN.
lazyeval
A package retired in 2017 just got rewritten against R's public C API.
See all cyclocomp alternatives → · See all MultiSpline alternatives →
Recent activity from cyclocomp and MultiSpline
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agoMultiSplineCross-classified and nested structures turn MultiSpline into a framework ⚡
- 5mo agocyclocompcyclocomp_package_dir() gains a quiet argument
- 5mo agoMultiSplineMultiSpline v0.1.1
- 5mo agoMultiSplineMultiSpline v0.1.0 - Initial Release
- 5mo agoMultiSplinev0.1.0.1
- 2y agocyclocompLarge speedup on long linear code
- 2y agocyclocompComplexity checks run against a local package tree
Frequently asked questions
What is the difference between cyclocomp and MultiSpline?
Both compete on the same themes — r-package — within Analytics. cyclocomp and MultiSpline 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.
Is cyclocomp better than MultiSpline?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cyclocomp and MultiSpline 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.
What are the best alternatives to cyclocomp?
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.
What are the best alternatives to MultiSpline?
Top MultiSpline alternatives in Analytics are ranked by recent ship velocity. Browse the "MultiSpline alternatives" section above for the current picks, or visit /alternatives/multispline for the full list with editorial commentary on each.