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Comparison · Infra & APIs

cvms vs rgm

A side-by-side editorial comparison of cvms and rgm — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

cvms vs rgm: at a glance

Featurecvmsrgm
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themescross-validation, r-package, model-evaluation, visualizationmicrobiome, graphical-models, bayesian-inference, cran-maintenance
Last editorial update1d ago1h ago
WebsiteVisit →Visit →

What is cvms?

A cross-validation package whose real development has moved to its plotting function

cvms runs repeated cross-validation over model formulas and reports comparable metrics. The 2.0.0 release was a breaking correctness fix: every function accepting fold_cols mismatched training and testing data when fold indices were non-sequential, did not start at 1, or were strings, because the iteration index was compared against the raw fold value rather than its factor level index. 2.0.1 restored coefficient extraction for nnet::multinom and mixed models by supplying an environment containing the training data, and followed lme4's move of findbars() into the reformulas package.

Read the full cvms trajectory →

What is rgm?

A microbiome network model that got itself un-archived by deleting the dependency that killed it.

rgm implements the random graphical model for microbiome interactions across related environments, published in JABES in 2026. The package was archived from CRAN in February 2026 because of its dependency on huge; the recovery release drops that dependency entirely, which cost it the graphical-lasso warm start that used to seed the initial graph — the default is now an empty graph, with warm starts left to the user. A post-processing function returning ggplot diagnostics arrived in the same release.

Read the full rgm trajectory →

cvms vs rgm: editorial side-by-side

C
cvms
INFRA · APIS
0.0

A cross-validation package whose real development has moved to its plotting function

◆ Current state

cvms runs repeated cross-validation over model formulas and reports comparable metrics. The 2.0.0 release was a breaking correctness fix: every function accepting fold_cols mismatched training and testing data when fold indices were non-sequential, did not start at 1, or were strings, because the iteration index was compared against the raw fold value rather than its factor level index. 2.0.1 restored coefficient extraction for nnet::multinom and mixed models by supplying an environment containing the training data, and followed lme4's move of findbars() into the reformulas package.

◆ Where it's heading

Two threads run in parallel and only one is about cross-validation. The plotting function plot_confusion_matrix() has absorbed most feature work since 1.5.0 - custom gradient palettes, intensity limits, per-tile settings, dynamic font colors keyed to value thresholds, and arguments that accept functions rather than constants - to the point where a companion web application exists for using it without code. The cross-validation core, by contrast, sees maintenance: upstream compatibility fixes for pROC, ggnewscale and ggplot2, and the fold-matching correction that finally forced a major version.

◆ Prediction

Expect continued option growth in the confusion matrix plotting surface, since that is where nearly every release since 1.5.0 has spent its changes, with core cross-validation changes arriving only as upstream packages force them.

R
rgm
INFRA · APIS
0.0

A microbiome network model that got itself un-archived by deleting the dependency that killed it.

◆ Current state

rgm implements the random graphical model for microbiome interactions across related environments, published in JABES in 2026. The package was archived from CRAN in February 2026 because of its dependency on huge; the recovery release drops that dependency entirely, which cost it the graphical-lasso warm start that used to seed the initial graph — the default is now an empty graph, with warm starts left to the user. A post-processing function returning ggplot diagnostics arrived in the same release.

◆ Where it's heading

Three tags shipped inside two hours on one day, and the notes are candid about why: 1.1.0 held the actual work but was never released, 1.2.0 restated it under a higher version to signal the size of the change, and 1.2.1 answered CRAN pre-test feedback. Beyond the archival recovery, the visible work is housekeeping that had accumulated — a shadowed rmvnorm() definition, roxygen import tags that were silently emitting nothing, leftover C++ template scaffolding, and build artifacts under version control. The diagnostics function is the only genuinely new user-facing capability in the window.

◆ Prediction

The immediate task was restoring availability, and that is done; the open question the entries raise is whether losing the graphical-lasso warm start affects convergence in practice, which the new diagnostic plots are positioned to answer.

Alternatives to cvms and rgm

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 cvms or rgm.

See all cvms alternatives → · See all rgm alternatives →

Recent activity from cvms and rgm

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 2mo agocvmsCoefficient extraction restored for multinom and mixed models
  2. 3mo agorgmJournal DOI replaces the preprint; promotional wording removed
  3. 3mo agorgmBack on CRAN after dropping the dependency that caused archival
  4. 3mo agorgmUnreleased twin of the CRAN recovery release
  5. 9mo agocvmsBreaking fix for mismatched folds with non-sequential fold IDs
  6. 11mo agocvmsTest compatibility with pROC 1.19 and a deprecation warning fix
  7. 1y agocvmsConfusion matrix fonts and colors can now be computed from the values
  8. 1y agocvmsTile intensity by row or column percentages
  9. 1y agocvmsMultinom coefficient extraction fix after a parameters update
  10. 2y agorgmFirst release: simulation, estimation and post-processing

Frequently asked questions

What is the difference between cvms and rgm?

Both compete on the same themes — r-package — within Infra & APIs. cvms and rgm 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 cvms better than rgm?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cvms and rgm 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 cvms?

Top cvms alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "cvms alternatives" section above for the current picks, or visit /alternatives/cvms for the full list with editorial commentary on each.

What are the best alternatives to rgm?

Top rgm alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "rgm alternatives" section above for the current picks, or visit /alternatives/rgm for the full list with editorial commentary on each.