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fairmodels vs tern.mmrm

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

fairmodels vs tern.mmrm: at a glance

Featurefairmodelstern.mmrm
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesfairness auditing, bias detection, dalex, r packagepharmaverse, mmrm, tabulation, maintenance
Last editorial update10h ago1h ago
WebsiteVisit →Visit →

What is fairmodels?

fairmodels sits dormant for three years, resurfacing only to satisfy a CRAN check.

fairmodels audits classification models for bias, built around fairness_check() and parity-loss metrics on top of DALEX explainers. The last substantive work dates from 2021; the 2025 release is a single-line change swapping ifelse for if/else in fairness_heatmap. Version 0.2.2 set the package's core design when it superseded metric differences with ratios.

Read the full fairmodels trajectory →

What is tern.mmrm?

An MMRM tabulation package that has published nothing since its 2024 CRAN releases.

tern.mmrm wraps mixed models for repeated measures into the tern tabulation and plotting layer used by teal clinical modules. The visible history ends with three CRAN releases in mid-to-late 2024; before that the feed carries only automated version bumps from 2022, three of which have just been backfilled into the record. The most recent substantive change adds axis limit arguments to the LS-means plot.

Read the full tern.mmrm trajectory →

fairmodels vs tern.mmrm: editorial side-by-side

F
fairmodels
ANALYTICS
0.0

fairmodels sits dormant for three years, resurfacing only to satisfy a CRAN check.

◆ Current state

fairmodels audits classification models for bias, built around fairness_check() and parity-loss metrics on top of DALEX explainers. The last substantive work dates from 2021; the 2025 release is a single-line change swapping ifelse for if/else in fairness_heatmap. Version 0.2.2 set the package's core design when it superseded metric differences with ratios.

◆ Where it's heading

The release history describes a package that reached its intended shape early and has been custodial since — the gap from August 2022 to October 2025 carries no functional change at all. What movement exists is CRAN-driven: documentation compliance, example runtimes, coding-style notes. The fairness metrics themselves have not changed since the parity_loss corrections of 2020.

◆ Prediction

On this cadence the next release is most likely another CRAN-prompted one-liner rather than new fairness metrics; nothing in these entries points to active development.

T
tern.mmrm
ANALYTICS
0.0

An MMRM tabulation package that has published nothing since its 2024 CRAN releases.

◆ Current state

tern.mmrm wraps mixed models for repeated measures into the tern tabulation and plotting layer used by teal clinical modules. The visible history ends with three CRAN releases in mid-to-late 2024; before that the feed carries only automated version bumps from 2022, three of which have just been backfilled into the record. The most recent substantive change adds axis limit arguments to the LS-means plot.

◆ Where it's heading

Content per release is thin and largely organisational: a maintainer change, replacing scda with random.cdisc.data in vignettes, and adapting to new {mmrm} versions. The package appears to be in maintenance, tracking its upstream dependency rather than developing independently. The 2022 entries now visible are release-automation commits, not releases in any meaningful sense.

◆ Prediction

Nothing here signals new functionality; the realistic next event is another compatibility release when {mmrm} or {rtables} changes underneath it.

Alternatives to fairmodels and tern.mmrm

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 fairmodels or tern.mmrm.

See all fairmodels alternatives → · See all tern.mmrm alternatives →

Recent activity from fairmodels and tern.mmrm

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

  1. 9mo agofairmodelsOne-line fix in fairness_heatmap
  2. 1y agotern.mmrmAxis limits added to the LS-means plot
  3. 2y agotern.mmrmMaintainer change and scda replaced in vignettes
  4. 2y agotern.mmrmCRAN 0.3.0 release, mostly workflow housekeeping
  5. 3y agotern.mmrmAutomated version bump to 0.2.1
  6. 3y agofairmodelsCRAN compliance fixes and citation update
  7. 3y agotern.mmrmPre-release branch merge
  8. 4y agotern.mmrmCI automation commit, no release content
  9. 4y agofairmodelsCRAN v1.2.0
  10. 5y agofairmodelsCRAN v1.1.0
  11. 5y agofairmodelsDocumentation fixes and trimmed example runtimes
  12. 5y agofairmodelsCorrects parity_loss in the cutoff functions

Frequently asked questions

What is the difference between fairmodels and tern.mmrm?

They serve adjacent needs but don't currently overlap on shipped themes. fairmodels and tern.mmrm 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 fairmodels better than tern.mmrm?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fairmodels and tern.mmrm 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 fairmodels?

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

What are the best alternatives to tern.mmrm?

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