mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of campsismod and stochvol — release velocity, themes, recent moves, and the top alternatives to consider.
The model layer under Campsis, renamed in step with it and increasingly JSON-addressable.
Campsismod holds the model object layer for the Campsis pharmacometric simulation suite: reading, editing and writing model definitions that Campsis then simulates. Its recent releases track a single programme, adding a JSON route into model objects and then renaming the whole API to snake_case in 1.4.0, a week before Campsis 1.9.0 did the same. Release notes are terse issue lists, so the reasoning behind each change has to be read from the sibling package.
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.
Campsismod holds the model object layer for the Campsis pharmacometric simulation suite: reading, editing and writing model definitions that Campsis then simulates. Its recent releases track a single programme, adding a JSON route into model objects and then renaming the whole API to snake_case in 1.4.0, a week before Campsis 1.9.0 did the same. Release notes are terse issue lists, so the reasoning behind each change has to be read from the sibling package.
This package moves when Campsis needs it to move. The JSON constructor landed here in 1.3.0 and reached Campsis datasets a day later; parameter uncertainty generation was handed down from Campsis in that package's 1.6.0; and the snake_case migration started here before propagating up. That ordering makes Campsismod the place where suite-wide interface decisions are taken first, even though the visible payoff shows up in Campsis.
Expect Campsismod to keep absorbing model-level responsibilities that Campsis currently handles, and to extend the JSON mapping to whatever parts of the model object it does not yet cover. The entries give no signal on a 2.0, and with the rename already spent there is little reason to expect one soon.
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 campsismod or stochvol.
mice can finally predict, not just estimate, from multiply imputed data.
A market-microstructure toolkit that keeps adding estimators as the papers land.
A vowel-analysis package trimming dependencies after an email address got it archived.
The R half of the EMU speech database system, fixing what was quietly broken.
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots keeps rebuilding its own foundations rather than layering around them.
See all campsismod alternatives → · See all stochvol alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. campsismod is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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. campsismod is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top campsismod alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "campsismod alternatives" section above for the current picks, or visit /alternatives/campsismod 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.