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mcmcensemble vs rrum

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

Shared themes:r-package

mcmcensemble vs rrum: at a glance

Featuremcmcensemblerrum
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmcmc, bayesian-inference, ensemble-sampling, reproducibilitypsychometrics, r-package, gibbs-sampling, maintenance
Last editorial update39m ago44m ago
WebsiteVisit →Visit →

What is mcmcensemble?

An ensemble sampler just admitted its walkers were barely talking to each other.

mcmcensemble provides affine-invariant ensemble MCMC samplers — differential evolution and stretch move — behind a single MCMCEnsemble() entry point. The API consolidated in 3.0.0 around a flexible inits argument and a hidden internal surface, with parallelism delegated to the future framework. The 2025 release fixed a defect in the sampling behaviour itself, and results now differ from every earlier version.

Read the full mcmcensemble trajectory →

What is rrum?

Six years past its API cleanup, rrum ships only what the compiler demands.

rrum estimates the reduced Reparameterized Unified Model via a Gibbs sampler in Rcpp/Armadillo, with simulation delegated to its sibling package simcdm. The user-facing API has been settled since 2019, when the entry point was renamed and simulation was moved out. Releases since then have been build and CRAN compliance work.

Read the full rrum trajectory →

mcmcensemble vs rrum: editorial side-by-side

M
mcmcensemble
ANALYTICS
0.0

An ensemble sampler just admitted its walkers were barely talking to each other.

◆ Current state

mcmcensemble provides affine-invariant ensemble MCMC samplers — differential evolution and stretch move — behind a single MCMCEnsemble() entry point. The API consolidated in 3.0.0 around a flexible inits argument and a hidden internal surface, with parallelism delegated to the future framework. The 2025 release fixed a defect in the sampling behaviour itself, and results now differ from every earlier version.

◆ Where it's heading

Development has moved from packaging to statistics. The early releases were about shape: a rename, argument alignment, moving coda to Suggests, adding tests, then parallel execution and named-vector support. The 3.0.0 release closed the API down to one wrapper and generalised initialisation. What is left, as 3.2.0 shows, is the correctness of the sampler itself — walker correlation, ergodicity checks, and grid artefacts in the differential evolution step were all addressed in a single release, all reported by one contributor. The package is being audited rather than extended.

◆ Prediction

Further sampler-behaviour fixes are the most likely next move, since three separate correctness issues surfaced together in the last release and the package's API has been stable since 3.0.0.

R
rrum
ANALYTICS
0.0

Six years past its API cleanup, rrum ships only what the compiler demands.

◆ Current state

rrum estimates the reduced Reparameterized Unified Model via a Gibbs sampler in Rcpp/Armadillo, with simulation delegated to its sibling package simcdm. The user-facing API has been settled since 2019, when the entry point was renamed and simulation was moved out. Releases since then have been build and CRAN compliance work.

◆ Where it's heading

The arc runs from an API-breaking consolidation in 2019, through a 2023 release fixing C++ deprecations and adding a pkgdown site, to a 2025 maintenance release that raises dependency floors and swaps a deprecated Armadillo conversion call. Each release is triggered by something outside the package — R-devel, CRAN check notes, an Armadillo deprecation — rather than by modeling work. The 2025 release arrived the same morning as a near-identical one for edina, marking it as a maintainer-wide sweep across the lab's packages.

◆ Prediction

The next release will most likely be another externally forced compatibility fix, since three consecutive releases have been reactions to toolchain deprecations rather than to user requests.

Alternatives to mcmcensemble and rrum

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 mcmcensemble or rrum.

See all mcmcensemble alternatives → · See all rrum alternatives →

Recent activity from mcmcensemble and rrum

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

  1. 10mo agorrumrrum 0.2.2 - Maintenance Release
  2. 1y agomcmcensembleWalker correlation bug fixed, changing results at any seed
  3. 2y agomcmcensembleClearer error when only one walker is supplied
  4. 2y agomcmcensembleAPI narrows to one entry point with flexible initialisation
  5. 2y agorrumR-devel C++ fixes, pkgdown site, CI moved to GitHub Actions
  6. 5y agomcmcensembleNamed parameter vectors and recorded sampler metadata
  7. 5y agomcmcensembleParallel ensemble sampling via the future framework
  8. 5y agomcmcensemblePackage renamed to mcmcensemble with aligned arguments and tests
  9. 7y agorrumCRAN release breaks the API and moves simulation to simcdm

Frequently asked questions

What is the difference between mcmcensemble and rrum?

Both compete on the same themes — r-package — within Analytics. mcmcensemble and rrum 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 mcmcensemble better than rrum?

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

What are the best alternatives to mcmcensemble?

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

What are the best alternatives to rrum?

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