mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of fastpos and stochvol — release velocity, themes, recent moves, and the top alternatives to consider.
Dormant three years, then a two-line release nobody using it would notice
fastpos finds the critical point of stability for a Pearson correlation, a simulation problem whose C++ implementation is the entire reason the package exists. Its substantive work concluded in 2022 with 0.5.0, the release prepared during R Journal review, which renamed the precision parameters, moved multicore work to pbapply and let users set corridor limits directly. After three years of silence, 0.6.0 removes an internal restriction to cpp11 and changes index_pop to an integer.
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.
fastpos finds the critical point of stability for a Pearson correlation, a simulation problem whose C++ implementation is the entire reason the package exists. Its substantive work concluded in 2022 with 0.5.0, the release prepared during R Journal review, which renamed the precision parameters, moved multicore work to pbapply and let users set corridor limits directly. After three years of silence, 0.6.0 removes an internal restriction to cpp11 and changes index_pop to an integer.
This is a finished piece of research software in low-effort upkeep. The changelog's centre of gravity is the R Journal review process, and once that concluded the package stopped changing. The single release since is toolchain work of the kind that keeps a package compiling rather than anything a user would see.
Expect nothing beyond occasional compilation or CRAN-check fixes unless the accompanying paper draws requests for other correlation types or resampling schemes.
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 fastpos 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 fastpos alternatives → · See all stochvol alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — rcpp — within Infra & APIs. fastpos 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. fastpos 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 fastpos alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "fastpos alternatives" section above for the current picks, or visit /alternatives/fastpos 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.