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Comparison · Infra & APIs

BayLum vs cvms

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

Shared themes:r-package

BayLum vs cvms: at a glance

FeatureBayLumcvms
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesbayesian-statistics, luminescence-dating, geochronology, jagscross-validation, r-package, model-evaluation, visualization
Last editorial update30m ago1h ago
WebsiteVisit →Visit →

What is BayLum?

Bayesian luminescence dating that finally replaced its folder-structure input format.

BayLum runs Bayesian age models for luminescence and combined OSL/C-14 dating on top of JAGS. The 2024 release rebuilt the front end: a single create_DataFile() replaces the separate single-grain and multi-grain generators, reads BIN/BINX and XSYG directly, and takes a YAML config in place of the old prescribed folder layout. Since then the work has been CRAN compliance and documentation.

Read the full BayLum trajectory →

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 →

BayLum vs cvms: editorial side-by-side

B
BayLum
INFRA · APIS
0.0

Bayesian luminescence dating that finally replaced its folder-structure input format.

◆ Current state

BayLum runs Bayesian age models for luminescence and combined OSL/C-14 dating on top of JAGS. The 2024 release rebuilt the front end: a single create_DataFile() replaces the separate single-grain and multi-grain generators, reads BIN/BINX and XSYG directly, and takes a YAML config in place of the old prescribed folder layout. Since then the work has been CRAN compliance and documentation.

◆ Where it's heading

Two long-running threads have converged: making JAGS runs survivable (parallel methods, halved MCMC memory, injectable custom models) and making the inputs survivable (YAML config, consistency checks, auto-detected sample names). With the deprecated generators on their way out, the next phase is removal rather than addition. Release cadence is roughly annual and slowing.

◆ Prediction

The deprecated Generate_DataFile(), Generate_DataFile_MG() and LT_RegenDose() are the obvious next casualties; a release that drops them would be the first breaking change since the YAML rework.

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.

Alternatives to BayLum and cvms

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 BayLum or cvms.

See all BayLum alternatives → · See all cvms alternatives →

Recent activity from BayLum and cvms

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

  1. 2mo agocvmsCoefficient extraction restored for multinom and mixed models
  2. 9mo agocvmsBreaking fix for mismatched folds with non-sequential fold IDs
  3. 10mo agoBayLumCRAN anchor fixes and an R 4.4 floor
  4. 11mo agocvmsTest compatibility with pROC 1.19 and a deprecation warning fix
  5. 1y agocvmsConfusion matrix fonts and colors can now be computed from the values
  6. 1y agocvmsTile intensity by row or column percentages
  7. 1y agocvmsMultinom coefficient extraction fix after a parameters update
  8. 2y agoBayLumOne data-file function and a YAML config replace the folder layout
  9. 3y agoBayLumMCMC memory halved; density plots for age distributions
  10. 3y agoBayLumParallel JAGS runs and a file-scaffolding helper
  11. 4y agoBayLumCustom model injection and RNG control for parallel runs
  12. 5y agoBayLumParallel JAGS experiment plus IntCal20-era calibration data

Frequently asked questions

What is the difference between BayLum and cvms?

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

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

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

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.