pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
Comparison · Infra & APIs
mmpca vs robscale
A side-by-side editorial comparison of mmpca and robscale — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:cranrcpp
mmpca vs robscale: at a glance
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.
What is robscale?
A robust-statistics package rewrote its estimators in SIMD C++ and went to CRAN in two weeks.
robscale computes robust scale and location estimators, and its pitch is speed: 21 to 26 times faster than stats::mad, 37 times faster than stats::IQR on small samples, with comparable margins over robustbase for Qn and Sn. The March 2026 releases took it from a GitHub project to a CRAN package carrying eleven estimators, all with confidence intervals.
mmpca vs robscale: editorial side-by-side
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.
robscale
0.0INFRA · APIS
A robust-statistics package rewrote its estimators in SIMD C++ and went to CRAN in two weeks.
◆ Current state
robscale computes robust scale and location estimators, and its pitch is speed: 21 to 26 times faster than stats::mad, 37 times faster than stats::IQR on small samples, with comparable margins over robustbase for Qn and Sn. The March 2026 releases took it from a GitHub project to a CRAN package carrying eleven estimators, all with confidence intervals.
◆ Where it's heading
Three releases in a fortnight walk a clear line: expand the public API, submit to CRAN, then tune. The 0.5.4 work is where that tuning shows, and it is unusually specific about hardware, raising sorting-network thresholds after benchmarking and dropping the AVX-512 path entirely in favour of a shorter AVX2-first dispatch chain. The build-fix lists are long, which is what a package fighting compiler and TBB variation across CRAN's platforms looks like.
◆ Prediction
The dispatch hierarchy has been simplified once already; further releases most likely continue narrowing the SIMD surface and hardening the configure step rather than adding estimators. A new estimator would be the surprise.
Alternatives to mmpca and robscale
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 mmpca or robscale.
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.
See all mmpca alternatives → · See all robscale alternatives →
Recent activity from mmpca and robscale
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agorobscaleSIMD median networks land; AVX-512 dispatch is dropped
- 4mo agorobscaleCRAN submission ships 11 robust estimators with bootstrap intervals ⚡
- 5mo agorobscalescale_robust() dispatcher and four new estimators join the public API
- 8mo agommpcaMinor CRAN comments cleared to keep the package listed
- 8mo agommpcaBack on CRAN under a new maintainer, rebuilt on RcppGSL ⚡
- 3y agommpcaValgrind memory fixes and a maximum-iteration option
Frequently asked questions
What is the difference between mmpca and robscale?
Both compete on the same themes — cran, rcpp — within Infra & APIs. mmpca and robscale 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 mmpca better than robscale?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mmpca and robscale 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 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.
What are the best alternatives to robscale?
Top robscale alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "robscale alternatives" section above for the current picks, or visit /alternatives/robscale for the full list with editorial commentary on each.