pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
A side-by-side editorial comparison of stochvol and usmap — release velocity, themes, recent moves, and the top alternatives to consider.
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
stochvol runs MCMC for stochastic volatility models, with a C++ sampler underneath an R interface. Five years of releases in this window contain no new models: the work is compiler and dependency compatibility, CRAN check notes, and a steady trickle of corrections to the sampler itself. Its methodological milestone, the Journal of Statistical Software paper, is recorded in a 2021 tag.
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
usmap plots US state and county maps in an Alaska- and Hawaii-inset projection and joins user data to them by FIPS code. Over the last two years it has been rebuilt underneath: the map data moved out to a companion usmapdata package, the geometry became sf, and a data_year parameter lets a plot match the vintage of the data being plotted. Version 1.0.0 marks ten years of the project and adds Puerto Rico across every function.
stochvol runs MCMC for stochastic volatility models, with a C++ sampler underneath an R interface. Five years of releases in this window contain no new models: the work is compiler and dependency compatibility, CRAN check notes, and a steady trickle of corrections to the sampler itself. Its methodological milestone, the Journal of Statistical Software paper, is recorded in a 2021 tag.
This is what a finished computational package looks like. The formula interface arrived at 3.1.0 and nothing has been added since; what changes is the ground underneath — RcppArmadillo major versions, UBSan checks, error-handling conventions moving from Rf_error to Rcpp::stop for correct memory management. The recurring pattern worth watching is that several releases fix real errors in the sampler's proposal distributions, found by users and by CRAN's own instrumented checks rather than by the maintainer.
Nothing in these notes suggests new methodology. Expect the next release when RcppArmadillo or a CRAN check flavour forces one, and treat any bug report against the samplers as the more consequential event.
usmap plots US state and county maps in an Alaska- and Hawaii-inset projection and joins user data to them by FIPS code. Over the last two years it has been rebuilt underneath: the map data moved out to a companion usmapdata package, the geometry became sf, and a data_year parameter lets a plot match the vintage of the data being plotted. Version 1.0.0 marks ten years of the project and adds Puerto Rico across every function.
The package has separated what it draws from how it draws, and that separation is what makes the recent releases possible: annual map vintages ship in usmapdata without touching usmap, and Puerto Rico could be backfilled into every existing year at once. The remaining work is coverage and defaults rather than architecture, and the Puerto Rico exclusion default is already governed by an environment variable rather than a code change.
Expect the annual map vintage to keep arriving through usmapdata, with usmap itself changing only where a new territory or a projection default needs handling.
Other Infra & APIs 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 stochvol or usmap.
The protist reference database keeps widening past the rRNA gene it was built on.
Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.
Conservation planning absorbs the literature's target-setting rules as code.
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
An ecosystem model starts tracking carbon isotopes and land-use change.
Fitness-tracking analysis in slow maintenance, still absorbing upstream breakage.
See all stochvol alternatives → · See all usmap alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. stochvol and usmap 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. stochvol and usmap 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 Infra & APIs products to evaluate alongside.
Top stochvol alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "stochvol alternatives" section above for the current picks, or visit /alternatives/stochvol for the full list with editorial commentary on each.
Top usmap alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "usmap alternatives" section above for the current picks, or visit /alternatives/usmap for the full list with editorial commentary on each.