← Back to home
Comparison · Analytics

edibble vs rrum

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

Shared themes:r-package

edibble vs rrum: at a glance

Featureedibblerrum
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesexperimental-design, grammar-of-design, reproducibility, simulationpsychometrics, r-package, gibbs-sampling, maintenance
Last editorial update30m ago43m ago
WebsiteVisit →Visit →

What is edibble?

A grammar for experimental design that learned to compose designs and track its own provenance.

edibble expresses experimental designs declaratively — units, treatments, records and their allotments — rather than calling a canned design function. Since 1.0.0 its internals run on a Provenance object that records the commands used to build a design, and 1.1.0 added conditional treatments, design composition and a separated simulation step. Recent work has focused on designs constructed from existing data rather than from scratch.

Read the full edibble 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 →

edibble vs rrum: editorial side-by-side

E
edibble
ANALYTICS
0.0

A grammar for experimental design that learned to compose designs and track its own provenance.

◆ Current state

edibble expresses experimental designs declaratively — units, treatments, records and their allotments — rather than calling a canned design function. Since 1.0.0 its internals run on a Provenance object that records the commands used to build a design, and 1.1.0 added conditional treatments, design composition and a separated simulation step. Recent work has focused on designs constructed from existing data rather than from scratch.

◆ Where it's heading

Development has moved from vocabulary to composition. Early releases established the core grammar; 1.0.0 replaced the internal R6 machinery with a Provenance object that tracks both internal and external commands, which is what lets a design carry its own construction history. On that foundation 1.1.0 added the ability to add two designs together, express conditional treatment structures, and split simulation specification from execution. The 2025 release turns toward a different entry point — wiring up level edges and unit attributes when an edibble object is built from data that already exists, rather than from a design declared up front.

◆ Prediction

Expect continued work on designs derived from existing data, since that is where the last release concentrated and it is the path least covered by the declarative grammar.

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 edibble 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 edibble or rrum.

See all edibble alternatives → · See all rrum alternatives →

Recent activity from edibble and rrum

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

  1. 10mo agorrumrrum 0.2.2 - Maintenance Release
  2. 1y agoedibbleBetter handling of designs built from existing data
  3. 2y agorrumR-devel C++ fixes, pkgdown site, CI moved to GitHub Actions
  4. 2y agoedibbleedibble 1.1.0
  5. 2y agoedibbleInternals rebuilt on a command-tracking Provenance object
  6. 3y agoedibbleS3 consistency and citation modernised
  7. 3y agoedibbleRd files fixed for HTML5 compatibility
  8. 4y agoedibbleInitial release
  9. 7y agorrumCRAN release breaks the API and moves simulation to simcdm

Frequently asked questions

What is the difference between edibble and rrum?

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

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

Top edibble alternatives in Analytics are ranked by recent ship velocity. Browse the "edibble alternatives" section above for the current picks, or visit /alternatives/edibble 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.