pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
Comparison · Infra & APIs
BAS vs mmpca
A side-by-side editorial comparison of BAS and mmpca — release velocity, themes, recent moves, and the top alternatives to consider.
BAS vs mmpca: at a glance
What is BAS?
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
BAS performs Bayesian variable selection and model averaging for linear and generalized linear models, sampling from a model space too large to enumerate. The visible history splits cleanly: 2023-2024 added sampling machinery — an adaptive independent MCMC sampler with Horvitz-Thompson estimation, hereditary-constraint counting — while 2.0.0 in late 2025 reworked how sampler output is allocated in C. The 2.0.2 patch is a PROTECT fix for rchk warnings.
What is mmpca?
Back from CRAN removal under a new maintainer, with the compiled layer rebuilt.
mmpca implements multiple matrix principal component analysis with a compiled GSL backend. The package spent time off CRAN, and its recent history is a rescue operation rather than a feature program: a new maintainer took it over, moved the native build path onto RcppGSL, and folded the hand-written C bindings into Rcpp. The two most recent entries landed the same day, one restoring the package and one clearing residual CRAN comments.
BAS vs mmpca: editorial side-by-side
BAS
0.0INFRA · APIS
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
◆ Current state
BAS performs Bayesian variable selection and model averaging for linear and generalized linear models, sampling from a model space too large to enumerate. The visible history splits cleanly: 2023-2024 added sampling machinery — an adaptive independent MCMC sampler with Horvitz-Thompson estimation, hereditary-constraint counting — while 2.0.0 in late 2025 reworked how sampler output is allocated in C. The 2.0.2 patch is a PROTECT fix for rchk warnings.
◆ Where it's heading
Memory is the binding constraint and the releases say so directly. The hereditary-constraint counter, the GROW option, and the replacement of over-allocation with resizing all attack the same problem: n.models is a guess, and guessing high wastes memory on problems where few unique models are actually visited. The 2.0.0 work was additionally forced by R tightening its C API against non-API calls like SETLENGTH, a constraint every C-heavy CRAN package has been absorbing. Method development has been quiet since 1.7.x.
◆ Prediction
The 1.7.5 notes call the hereditary-constraint counting a first step and say future updates will cover other constraint types, including polynomials, which remain unhandled. That is the one concrete commitment in this history, though nothing since has returned to it.
mmpca
0.0INFRA · APIS
Back from CRAN removal under a new maintainer, with the compiled layer rebuilt.
◆ Current state
mmpca implements multiple matrix principal component analysis with a compiled GSL backend. The package spent time off CRAN, and its recent history is a rescue operation rather than a feature program: a new maintainer took it over, moved the native build path onto RcppGSL, and folded the hand-written C bindings into Rcpp. The two most recent entries landed the same day, one restoring the package and one clearing residual CRAN comments.
◆ Where it's heading
Work is concentrated on making the package installable and check-clean rather than on the decomposition itself. The version stamps run out of order, with 2.0.3 predating both 2.0.2 and 2.0.4 by three years, so the feed reads as an archive flush around the CRAN return. Nothing in the entries points at method-level work.
◆ Prediction
Expect maintenance releases that keep the compiled code passing CRAN checks; the entries give no signal about new decomposition features.
Alternatives to BAS and mmpca
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 BAS or mmpca.
ggalign
Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.
prioritizr
Conservation planning absorbs the literature's target-setting rules as code.
jSDM
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
rsofun
An ecosystem model starts tracking carbon isotopes and land-use change.
usmap
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
Recent activity from BAS and mmpca
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 8mo agoBASBAS 2.0.2
- 8mo agoBASBAS 2.0.0
- 8mo agommpcaMinor CRAN comments cleared to keep the package listed
- 8mo agommpcaBack on CRAN under a new maintainer, rebuilt on RcppGSL ⚡
- 1y agoBASBAS 1.7.5
- 1y agoBASBAS 1.7.3
- 1y agoBASBAS 1.7.2
- 2y agoBASBAS 1.7.1
- 3y agommpcaValgrind memory fixes and a maximum-iteration option
Frequently asked questions
What is the difference between BAS and mmpca?
They serve adjacent needs but don't currently overlap on shipped themes. BAS and mmpca 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.
Is BAS better than mmpca?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. BAS and mmpca 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.
What are the best alternatives to BAS?
Top BAS alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "BAS alternatives" section above for the current picks, or visit /alternatives/bas for the full list with editorial commentary on each.
What are the best alternatives to mmpca?
Top mmpca alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "mmpca alternatives" section above for the current picks, or visit /alternatives/mmpca for the full list with editorial commentary on each.