qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of gwasvcf and tern.mmrm — release velocity, themes, recent moves, and the top alternatives to consider.
gwasvcf has stopped adding features and now just keeps proxy matching from failing.
gwasvcf reads and queries GWAS summary statistics stored as VCF, with LD proxy lookup as its most-used entry point. Every release in the visible window is a fix, and all but one land in or around proxy_match(). The last functional addition was gwasvcf_to_summaryset() in 0.1.2, which hands data to gwasglue2 rather than doing new work here.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
tern.mmrm wraps mixed models for repeated measures into the tern tabulation and plotting layer used by teal clinical modules. The visible history ends with three CRAN releases in mid-to-late 2024; before that the feed carries only automated version bumps from 2022, three of which have just been backfilled into the record. The most recent substantive change adds axis limit arguments to the LS-means plot.
gwasvcf reads and queries GWAS summary statistics stored as VCF, with LD proxy lookup as its most-used entry point. Every release in the visible window is a fix, and all but one land in or around proxy_match(). The last functional addition was gwasvcf_to_summaryset() in 0.1.2, which hands data to gwasglue2 rather than doing new work here.
The package is in custodial maintenance inside the MRC IEU OpenGWAS stack, and its releases are reactive: each one answers a specific user-reported failure, credited to the reporter. The 0.1.6 pattern is telling — rather than replace the proxy VCF construction, it keeps the original path and adds a fallback only for inputs that fail, so existing results are left bit-for-bit unchanged.
Expect further narrow robustness fixes to proxy_match() driven by user-reported VCF shapes; nothing in the entries suggests new analysis capability is being built here rather than in gwasglue2.
tern.mmrm wraps mixed models for repeated measures into the tern tabulation and plotting layer used by teal clinical modules. The visible history ends with three CRAN releases in mid-to-late 2024; before that the feed carries only automated version bumps from 2022, three of which have just been backfilled into the record. The most recent substantive change adds axis limit arguments to the LS-means plot.
Content per release is thin and largely organisational: a maintainer change, replacing scda with random.cdisc.data in vignettes, and adapting to new {mmrm} versions. The package appears to be in maintenance, tracking its upstream dependency rather than developing independently. The 2022 entries now visible are release-automation commits, not releases in any meaningful sense.
Nothing here signals new functionality; the realistic next event is another compatibility release when {mmrm} or {rtables} changes underneath it.
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 gwasvcf or tern.mmrm.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
The R client for AusTraits spends its releases chasing the dataset it reads.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
A fossil-record simulator that quietly grew a trait-evolution engine.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
See all gwasvcf alternatives → · See all tern.mmrm alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — maintenance — within Analytics. gwasvcf and tern.mmrm 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. gwasvcf and tern.mmrm 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 gwasvcf alternatives in Analytics are ranked by recent ship velocity. Browse the "gwasvcf alternatives" section above for the current picks, or visit /alternatives/gwasvcf for the full list with editorial commentary on each.
Top tern.mmrm alternatives in Analytics are ranked by recent ship velocity. Browse the "tern.mmrm alternatives" section above for the current picks, or visit /alternatives/tern-mmrm for the full list with editorial commentary on each.