tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
A side-by-side editorial comparison of grex and weird — release velocity, themes, recent moves, and the top alternatives to consider.
grex is a lookup table with a version number — it ships when the annotation moves.
grex converts the deprecated Ensembl gene IDs found in GTEx data into current gene symbols and identifiers, using org.Hs.eg.db as its reference. Its value is entirely in that bundled reference data, so a release either refreshes the mapping or does nothing to it. The 2025 release does nothing to it: GitHub Actions for the docs site, a check-note fix, and a smaller vignette.
weird rebuilt itself on distributional objects, and now the anomaly tooling composes with everything else.
An R package for anomaly detection and unusual-observation diagnostics, at four releases with a long gap between the 2024 patch and the 2026 major line. The current shape is set by 2.0.0, which refactored the package onto distributional objects and renamed its central concept from density_scores() to surprisals(). Since then the work has been filling that structure in: surprisals for more model classes, faster bandwidth and probability calculations, and new visual diagnostics.
grex converts the deprecated Ensembl gene IDs found in GTEx data into current gene symbols and identifiers, using org.Hs.eg.db as its reference. Its value is entirely in that bundled reference data, so a release either refreshes the mapping or does nothing to it. The 2025 release does nothing to it: GitHub Actions for the docs site, a check-note fix, and a smaller vignette.
The annotation refreshes stopped. Between 2017 and 2019 the package tracked org.Hs.eg.db through four versions and added the GTEx V7 identifier set; since then the reference has stood still while the releases turned to packaging. That gap matters more here than it would elsewhere — a stale mapping table silently returns outdated symbols rather than failing, so the package's core asset ages invisibly.
Nothing in these entries signals a planned data refresh, and the six-year pattern suggests the next release will again be infrastructure. Users needing current annotations should check which org.Hs.eg.db version is bundled rather than assume the version number reflects it.
An R package for anomaly detection and unusual-observation diagnostics, at four releases with a long gap between the 2024 patch and the 2026 major line. The current shape is set by 2.0.0, which refactored the package onto distributional objects and renamed its central concept from density_scores() to surprisals(). Since then the work has been filling that structure in: surprisals for more model classes, faster bandwidth and probability calculations, and new visual diagnostics.
The refactor onto a shared distribution representation is the decision everything else follows from. It let 2.1.0 add hdr() and parameters() methods for kde objects rather than bespoke accessors, and it let 3.0.0 bring in dist_mclust() to turn a Gaussian mixture model into the same object type — so a mixture, a kernel density estimate and a fitted distribution all flow through one interface. The 3.0.0 additions lean visual and multivariate: outlier maps plotting score distance against orthogonal distance, biplot projections with variable axes overlaid, and an augment() method for robust PCA objects. Dependencies have been shed steadily along the way — lookout, interpolation — while mvscale() moved out and then back in.
Expect surprisals() coverage to keep extending to further model classes, and the multivariate and robust-PCA diagnostics introduced in 3.0.0 to gain the same distributional-object treatment as the univariate side.
Other Analytics 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 grex or weird.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
A single-purpose ggplot2 inset tool, refining the same three arguments.
An R symbolic-maths binding whose changelog is really the C++ core's release notes.
gtfstools stopped guarding its own object model and started accepting everyone else's.
The glue package that makes R carry units and uncertainty through the same calculation.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. grex and weird 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. grex and weird 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 Analytics products to evaluate alongside.
Top grex alternatives in Analytics are ranked by recent ship velocity. Browse the "grex alternatives" section above for the current picks, or visit /alternatives/grex-r for the full list with editorial commentary on each.
Top weird alternatives in Analytics are ranked by recent ship velocity. Browse the "weird alternatives" section above for the current picks, or visit /alternatives/weird-r for the full list with editorial commentary on each.