pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
A side-by-side editorial comparison of stochvol and TrendLSW — 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.
Wavelet trend estimation tightens the defaults it shipped with.
TrendLSW estimates trend and evolutionary wavelet spectrum for locally stationary time series through a single TLSW() entry point. Its history since the first CRAN appearance is short and centres on defaults and plotting around that function, plus one dataset addition. The latest entry carries both the 1.0.4 and 1.0.3 notes in one body.
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.
TrendLSW estimates trend and evolutionary wavelet spectrum for locally stationary time series through a single TLSW() entry point. Its history since the first CRAN appearance is short and centres on defaults and plotting around that function, plus one dataset addition. The latest entry carries both the 1.0.4 and 1.0.3 notes in one body.
The package has moved from getting onto CRAN to correcting the choices it launched with: the spectrum filter defaults were swapped to their trend counterparts, the plot.CI switch was removed in favour of inferring it from what was actually computed, and an example was shrunk to fit check timings. This is consolidation around a stable API rather than expansion.
Further releases most likely continue tuning TLSW() defaults and plot behaviour; the entries show no work toward new estimators.
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 TrendLSW.
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.
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
See all stochvol alternatives → · See all TrendLSW 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 TrendLSW 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 TrendLSW 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 TrendLSW alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "TrendLSW alternatives" section above for the current picks, or visit /alternatives/trendlsw for the full list with editorial commentary on each.