mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of goat and mdatools — release velocity, themes, recent moves, and the top alternatives to consider.
A gene-set enrichment package that outgrew its human-only origins, then went quiet.
GOAT is a CRAN-published R package for gene set enrichment testing, now at 1.1.4. The visible arc runs from a 2024 beta through a first public CRAN release to a 1.1 line that broadened the package past human gene sets and added persistence for completed analyses. Recent releases are small: the newest ships an igraph handle on plot_network() plus bug fixes.
mdatools spun out its cross-validation method, then came back for three-way data.
mdatools is a long-running chemometrics package covering PCA, PLS regression, SIMCA and DD-SIMCA classification, MCR resolution and a large spectral preprocessing framework. Its releases are infrequent and each one tends to carry one substantive idea plus a handful of fixes. The June release opens a direction the package had not previously taken: DD-SIMCA classification of three-way data, through PARAFAC and Tucker decompositions.
GOAT is a CRAN-published R package for gene set enrichment testing, now at 1.1.4. The visible arc runs from a 2024 beta through a first public CRAN release to a 1.1 line that broadened the package past human gene sets and added persistence for completed analyses. Recent releases are small: the newest ships an igraph handle on plot_network() plus bug fixes.
The substantive expansion happened in the 1.1 cycle; everything since has been maintenance and plotting ergonomics. Each release since 1.1 touches one function and returns something callers previously had to reconstruct, which reads as a package settling into a stable API and responding to individual user requests rather than pursuing new scope. The 13-month gap between 1.1.2 and 1.1.4 puts it firmly in low-cadence maintenance.
Expect continued point releases that expose internals from the plotting functions or refresh the bundled GO release, not new analysis capability. The entries give no signal of a planned 1.2.
mdatools is a long-running chemometrics package covering PCA, PLS regression, SIMCA and DD-SIMCA classification, MCR resolution and a large spectral preprocessing framework. Its releases are infrequent and each one tends to carry one substantive idea plus a handful of fixes. The June release opens a direction the package had not previously taken: DD-SIMCA classification of three-way data, through PARAFAC and Tucker decompositions.
The shape of the package has been managed deliberately rather than allowed to sprawl. Procrustes cross-validation grew large enough to warrant its own package and was moved out to pcv in 0.14.0; preprocessing was consolidated in 0.12.0 into a composable prep() framework rather than a set of loose functions. Around that, the recurring work is numerical: a more stable SIMPLS implementation, cross-validation rewritten to accept user-supplied segment indices, prep.savgol() and prep.alsbasecorr() rewritten for speed, and now the baseline iteration default raised to match the web applications the maintainer also runs.
Three-way DD-SIMCA arrives with two decompositions and no companion regression or resolution methods for multiway data, so extending the multiway path to the rest of the toolkit is the obvious follow-up. The alignment of defaults with the maintainer's web applications suggests those two codebases will keep being reconciled.
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 goat or mdatools.
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 goat alternatives → · See all mdatools alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. goat and mdatools 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. goat and mdatools 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 goat alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "goat alternatives" section above for the current picks, or visit /alternatives/goat for the full list with editorial commentary on each.
Top mdatools alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "mdatools alternatives" section above for the current picks, or visit /alternatives/mdatools for the full list with editorial commentary on each.