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RMVMR vs shapviz

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

RMVMR vs shapviz: at a glance

FeatureRMVMRshapviz
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmendelian randomization, r, radial methods, geneticsshap, visualization, model explainability, ggplot2
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is RMVMR?

RMVMR is being tidied in lockstep with MVMR, the package it wraps

RMVMR provides radial multivariable Mendelian randomization — radial IVW estimation and plots layered over the MVMR package's conditional instrument-strength machinery. It has no independent release schedule: versions arrive alongside MVMR's, pin a minimum MVMR version, and fix defects in the seam between the two. Its most recent release landed the same day as new versions of MVMR and OneSampleMR.

Read the full RMVMR trajectory →

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 →

RMVMR vs shapviz: editorial side-by-side

R
RMVMR
ANALYTICS
0.0

RMVMR is being tidied in lockstep with MVMR, the package it wraps

◆ Current state

RMVMR provides radial multivariable Mendelian randomization — radial IVW estimation and plots layered over the MVMR package's conditional instrument-strength machinery. It has no independent release schedule: versions arrive alongside MVMR's, pin a minimum MVMR version, and fix defects in the seam between the two. Its most recent release landed the same day as new versions of MVMR and OneSampleMR.

◆ Where it's heading

The work is code hygiene with results held fixed. ivw_rmvmr() now fits the radial IVW model explicitly rather than inheriting variables left over from the orientation loop, an undocumented data element carrying unused intermediate frames is gone, and plot_rmvmr() stops recomputing univariate radial analyses it already has — roughly halving the RadialMR calls with identical output. Each note is explicit that coefficients, standard errors and degrees of freedom are unchanged, which is a deliberate contrast with MVMR's own 2026 releases, where several fixes did change reported values.

◆ Prediction

Because the package pins MVMR versions rather than vendoring behaviour, the next release most likely follows MVMR's next correctness fix; nothing in the notes points to independent feature work.

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.

Alternatives to RMVMR and shapviz

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 RMVMR or shapviz.

See all RMVMR alternatives → · See all shapviz alternatives →

Recent activity from RMVMR and shapviz

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

  1. 1mo agoRMVMRRMVMR fixes a gencov error and halves redundant radial calls
  2. 3mo agoRMVMRRMVMR 0.4.4
  3. 4mo agoRMVMRRMVMR 0.4.3
  4. 5mo agoRMVMRRMVMR now requires MVMR 0.4.3 or later
  5. 10mo agoshapvizggplot 4.0 compatibility fix
  6. 1y agoshapvizFixes duplicated bars in sv_interaction()
  7. 1y agoRMVMRRMVMR 0.4.1
  8. 1y agoshapvizggplot2 and patchwork dependency bumps
  9. 1y agoshapvizShared y-axis control and bar-style interaction plots
  10. 1y agoshapvizH2O random forests gain TreeSHAP support
  11. 1y agoshapvizFixes a broken vignette link

Frequently asked questions

What is the difference between RMVMR and shapviz?

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

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

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

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.