paleobuddy
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
A side-by-side editorial comparison of broman and hstats — release velocity, themes, recent moves, and the top alternatives to consider.
A statistician's personal toolbox, growing one plotting utility at a time
broman is Karl Broman's collection of personal R utilities — base-graphics plotting helpers such as grayplot, dotplot and timeplot, running-window summaries, and assorted conveniences. Recent releases alternate between small additions, like runningratio2() with an adaptive window sized to hit a target denominator, and narrow bug fixes in crayons() and jiggle(). Version 0.92 removes an include that had begun warning on CRAN.
hstats settled into maintenance after its 1.0 restructuring, with model coverage the only thing still growing.
hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.
broman is Karl Broman's collection of personal R utilities — base-graphics plotting helpers such as grayplot, dotplot and timeplot, running-window summaries, and assorted conveniences. Recent releases alternate between small additions, like runningratio2() with an adaptive window sized to hit a target denominator, and narrow bug fixes in crayons() and jiggle(). Version 0.92 removes an include that had begun warning on CRAN.
The additions cluster around two themes: time-axis plotting and running-window summaries, both of which have been extended across several releases. Nothing here is planned in the usual sense — functions appear when the author needs them and bugs are fixed when they surface downstream, as jiggle() did through dotplot(). The C-level cleanup in 0.92 matches the same change made to R/qtl the same week, which is what maintaining a set of packages under one author looks like.
Both recent function additions extend existing families rather than starting new ones, so the next release is most likely another variant in the running-window or time-plotting group, or a fix surfaced by one of the author's other packages.
hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.
The structural work — the hstats_matrix object, quantile approximation, revised plotting — landed in 1.0.0 just outside this window, and nothing since has changed the package's shape. What continues is model-coverage plumbing: mlr3 classification modes, ranger survival behind a survival argument, and factor predictions added in 1.1.0 then removed again in 1.2.0. The most recent releases are compatibility-driven, tracking ggplot2 rather than the interaction statistics.
Expect the next release to be another dependency-compatibility pass or a new model backend working out of the box, rather than new interaction statistics.
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 broman or hstats.
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.
errors keeps making uncertainty print the way each scientific field expects.
CMAQ went global in v5.5, and has been patching that surface ever since.
enpls has not changed its statistics since 2016 — only its website, twice.
grex is a lookup table with a version number — it ships when the annotation moves.
See all broman alternatives → · See all hstats alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. broman and hstats 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. broman and hstats 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 broman alternatives in Analytics are ranked by recent ship velocity. Browse the "broman alternatives" section above for the current picks, or visit /alternatives/broman-r for the full list with editorial commentary on each.
Top hstats alternatives in Analytics are ranked by recent ship velocity. Browse the "hstats alternatives" section above for the current picks, or visit /alternatives/hstats for the full list with editorial commentary on each.