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Comparison · Infra & APIs

BayLum vs rgm

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

Shared themes:r-package

BayLum vs rgm: at a glance

FeatureBayLumrgm
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesbayesian-statistics, luminescence-dating, geochronology, jagsmicrobiome, graphical-models, bayesian-inference, cran-maintenance
Last editorial update1d 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 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 →

BayLum vs rgm: 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.

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 BayLum 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 BayLum or rgm.

See all BayLum alternatives → · See all rgm alternatives →

Recent activity from BayLum and rgm

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

  1. 3mo agorgmJournal DOI replaces the preprint; promotional wording removed
  2. 3mo agorgmBack on CRAN after dropping the dependency that caused archival
  3. 3mo agorgmUnreleased twin of the CRAN recovery release
  4. 10mo agoBayLumCRAN anchor fixes and an R 4.4 floor
  5. 2y agoBayLumOne data-file function and a YAML config replace the folder layout
  6. 2y agorgmFirst release: simulation, estimation and post-processing
  7. 3y agoBayLumMCMC memory halved; density plots for age distributions
  8. 3y agoBayLumParallel JAGS runs and a file-scaffolding helper
  9. 4y agoBayLumCustom model injection and RNG control for parallel runs
  10. 5y agoBayLumParallel JAGS experiment plus IntCal20-era calibration data

Frequently asked questions

What is the difference between BayLum and rgm?

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

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