vcfR
A genomics workhorse whose visible release feed stops dead in mid-2020.
A side-by-side editorial comparison of crandep and mdatools — release velocity, themes, recent moves, and the top alternatives to consider.
Half CRAN dependency scraper, half extreme-value modelling kit — and the scraper half keeps finding bugs.
crandep does two jobs that rarely share a package: it harvests the CRAN dependency network, and it fits power-law and extreme-value mixture models to the resulting degree distributions. The 2024 releases were all model work — profile posteriors, wrappers, a constrained variant, a TZP-power-law mixture between the two- and three-component models. The 2025 releases are entirely the other half, fixing what the harvester was silently getting wrong.
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.
crandep does two jobs that rarely share a package: it harvests the CRAN dependency network, and it fits power-law and extreme-value mixture models to the resulting degree distributions. The 2024 releases were all model work — profile posteriors, wrappers, a constrained variant, a TZP-power-law mixture between the two- and three-component models. The 2025 releases are entirely the other half, fixing what the harvester was silently getting wrong.
The modelling side has settled into a family of mixtures with matching wrapper and profile-posterior functions, and has not gained a new component since mid-2024. Attention has shifted to data quality in the scraper, where two consecutive releases dealt with the same class of problem: rows that should not exist because of trailing commas in CRAN's own metadata, and rows that should exist but did not because orphan packages have no edges. For a package whose science is degree distributions, missing isolated nodes is a modelling error, not a formatting one.
Expect further hardening against CRAN metadata quirks in the harvesting functions; the mixture-model side looks feature-complete and is likely to stay quiet unless a new component model is published.
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 crandep or mdatools.
A genomics workhorse whose visible release feed stops dead in mid-2020.
The R phone-number package stopped only parsing numbers and started asking them where they are.
A Venn diagram package whose public release notes say almost nothing — including about its copyright cleanup.
A Shiny app for choosing the right ordinal test reached CRAN in a single 90-minute burst of tags.
A new R localization package that reached CRAN and immediately downgraded itself to experimental.
An R client for HERE's location APIs, shaped almost entirely by what the vendor exposes next.
See all crandep 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. crandep 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. crandep 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 crandep alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "crandep alternatives" section above for the current picks, or visit /alternatives/crandep 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.