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shapviz vs tern.mmrm

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

shapviz vs tern.mmrm: at a glance

Featureshapviztern.mmrm
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesshap, visualization, model explainability, ggplot2pharmaverse, mmrm, tabulation, maintenance
Last editorial update10h ago1h ago
WebsiteVisit →Visit →

What is shapviz?

shapviz refines its SHAP plots release by release while chasing ggplot2's moving target.

shapviz turns SHAP values from XGBoost, LightGBM, H2O, kernelshap and other sources into standard diagnostic plots — importance, dependence, waterfall, force and interaction. Recent work is plot ergonomics: shared y-axis control across dependence plots, a bar view for interaction values, and axis collection via patchwork. The two most recent releases are pure compatibility and bug fixes.

Read the full shapviz 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 →

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

S
shapviz
ANALYTICS
0.0

shapviz refines its SHAP plots release by release while chasing ggplot2's moving target.

◆ Current state

shapviz turns SHAP values from XGBoost, LightGBM, H2O, kernelshap and other sources into standard diagnostic plots — importance, dependence, waterfall, force and interaction. Recent work is plot ergonomics: shared y-axis control across dependence plots, a bar view for interaction values, and axis collection via patchwork. The two most recent releases are pure compatibility and bug fixes.

◆ Where it's heading

Two threads run in parallel here. One is visual refinement converging on conventions from Python's shap — the 0.10.0 notes openly float switching share_y to TRUE to match it. The other is connector maintenance, keeping pace with H2O, XGBoost 1.x and 2.x, shapr and permshap as each changes. Neither thread adds new explanation methods; shapviz's job is presentation, and it is being polished rather than extended.

◆ Prediction

Expect share_y = TRUE to become the default and further ggplot2 4.x fallout, with connector updates arriving as the upstream SHAP packages release.

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 shapviz 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 shapviz or tern.mmrm.

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

Recent activity from shapviz and tern.mmrm

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

  1. 10mo agoshapvizggplot 4.0 compatibility fix
  2. 1y agoshapvizFixes duplicated bars in sv_interaction()
  3. 1y agoshapvizggplot2 and patchwork dependency bumps
  4. 1y agoshapvizShared y-axis control and bar-style interaction plots
  5. 1y agoshapvizH2O random forests gain TreeSHAP support
  6. 1y agoshapvizFixes a broken vignette link
  7. 1y agotern.mmrmAxis limits added to the LS-means plot
  8. 2y agotern.mmrmMaintainer change and scda replaced in vignettes
  9. 2y agotern.mmrmCRAN 0.3.0 release, mostly workflow housekeeping
  10. 3y agotern.mmrmAutomated version bump to 0.2.1
  11. 3y agotern.mmrmPre-release branch merge
  12. 4y agotern.mmrmCI automation commit, no release content

Frequently asked questions

What is the difference between shapviz and tern.mmrm?

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

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

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