JointFPM
Recurrent-event modelling settles, with mean_no() promoted to stable.
A side-by-side editorial comparison of GencoDymo2 and stochvol — release velocity, themes, recent moves, and the top alternatives to consider.
A GENCODE annotation toolkit spent its first year getting out of CRAN's way.
GencoDymo2 extracts, compares and analyses GENCODE genome annotations and generates splice-site motif FASTA files. It describes itself as a modified remake of the earlier GencoDymo package. Three releases exist: the initial one, a dependency and CRAN-compatibility pass, and a one-line fix for a dplyr update.
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.
GencoDymo2 extracts, compares and analyses GENCODE genome annotations and generates splice-site motif FASTA files. It describes itself as a modified remake of the earlier GencoDymo package. Three releases exist: the initial one, a dependency and CRAN-compatibility pass, and a one-line fix for a dplyr update.
Nothing in the visible history extends what the package analyses. The work after the initial release is about being installable and checkable — moving the human genome package out of hard dependencies, guarding genome access behind requireNamespace(), and keeping examples light enough for CRAN checks. That is the shape of a package settling into distribution rather than developing, and the fourteen months covered here produced two maintenance releases.
The entries give no signal of planned feature work; on this history the next release is most likely another compatibility fix triggered by an upstream package change rather than new analysis capability.
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.
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 GencoDymo2 or stochvol.
Recurrent-event modelling settles, with mean_no() promoted to stable.
Nonparametric change point detection swaps p-values for importance scores.
A Prism-styled ggplot2 theme in maintenance, now surviving ggplot2 4.0.
Wavelet trend estimation tightens the defaults it shipped with.
Back from CRAN removal under a new maintainer, with the compiled layer rebuilt.
mice can finally predict, not just estimate, from multiply imputed data.
See all GencoDymo2 alternatives → · See all stochvol alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — maintenance — within Infra & APIs. GencoDymo2 and stochvol 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. GencoDymo2 and stochvol 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 GencoDymo2 alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "GencoDymo2 alternatives" section above for the current picks, or visit /alternatives/gencodymo2 for the full list with editorial commentary on each.
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.