edibble
A grammar for experimental design that learned to compose designs and track its own provenance.
A side-by-side editorial comparison of rrum and segregatr — release velocity, themes, recent moves, and the top alternatives to consider.
Six years past its API cleanup, rrum ships only what the compiler demands.
rrum estimates the reduced Reparameterized Unified Model via a Gibbs sampler in Rcpp/Armadillo, with simulation delegated to its sibling package simcdm. The user-facing API has been settled since 2019, when the entry point was renamed and simulation was moved out. Releases since then have been build and CRAN compliance work.
A segregation-analysis tool that keeps widening which pedigrees it can actually handle.
segregatr computes full-likelihood Bayes factors for variant segregation in families, built on pedtools and part of the wider pedsuite ecosystem. Its releases are infrequent but each one lifts a structural restriction: loops, recessive and X-linked models, liability classes, and most recently a proband-free variant of the score. The companion shinyseg app gives the same machinery a clinical front end.
rrum estimates the reduced Reparameterized Unified Model via a Gibbs sampler in Rcpp/Armadillo, with simulation delegated to its sibling package simcdm. The user-facing API has been settled since 2019, when the entry point was renamed and simulation was moved out. Releases since then have been build and CRAN compliance work.
The arc runs from an API-breaking consolidation in 2019, through a 2023 release fixing C++ deprecations and adding a pkgdown site, to a 2025 maintenance release that raises dependency floors and swaps a deprecated Armadillo conversion call. Each release is triggered by something outside the package — R-devel, CRAN check notes, an Armadillo deprecation — rather than by modeling work. The 2025 release arrived the same morning as a near-identical one for edina, marking it as a maintainer-wide sweep across the lab's packages.
The next release will most likely be another externally forced compatibility fix, since three consecutive releases have been reactions to toolchain deprecations rather than to user requests.
segregatr computes full-likelihood Bayes factors for variant segregation in families, built on pedtools and part of the wider pedsuite ecosystem. Its releases are infrequent but each one lifts a structural restriction: loops, recessive and X-linked models, liability classes, and most recently a proband-free variant of the score. The companion shinyseg app gives the same machinery a clinical front end.
The through-line is coverage of awkward real-world pedigrees rather than new statistics. Loops were handled for the core score in 0.3.0 and then extended to liability classes in 0.4.0, so the same structural capability is being pushed through the codebase feature by feature. The 2025 release moves in a different direction, relaxing the requirement for a designated proband. Development is slow and steady, roughly annual, and tracks its pedtools dependency closely.
Expect the next release to continue relaxing modelling constraints — the pattern of retrofitting each new capability across loops, liability classes and inheritance models is unfinished — rather than expanding beyond segregation scoring.
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 rrum or segregatr.
A grammar for experimental design that learned to compose designs and track its own provenance.
A Swiss clinical-trial data reader that surfaces once every couple of years to clear check notes.
Brazil's flight-data package keeps working around what ANAC publishes and when.
A star-schema modelling package grew a query language, a deployment path, and then a map layer.
A water-research lab's ODBC helper, still fighting Windows database drivers a decade in.
PACTA's loan-book matcher opened up to sector taxonomies other than its own.
See all rrum alternatives → · See all segregatr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. rrum and segregatr 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. rrum and segregatr 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 rrum alternatives in Analytics are ranked by recent ship velocity. Browse the "rrum alternatives" section above for the current picks, or visit /alternatives/rrum for the full list with editorial commentary on each.
Top segregatr alternatives in Analytics are ranked by recent ship velocity. Browse the "segregatr alternatives" section above for the current picks, or visit /alternatives/segregatr for the full list with editorial commentary on each.