RMVMR
RMVMR is being tidied in lockstep with MVMR, the package it wraps
A side-by-side editorial comparison of filtro and shapviz — release velocity, themes, recent moves, and the top alternatives to consider.
filtro moves to S7 and multiplies its feature-scoring methods in a single release.
filtro supplies feature-selection filter scores for the tidymodels stack. Version 0.2.0 adds five scoring methods — correlation, random forest importance, information gain, ROC AUC and cross tabulation — and moves the package from S3 to S7. It also gains a ranking layer: show_best_score_* and rank_best_score_* helpers for a single score, plus desirability-function helpers for optimising across several scores at once.
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.
filtro supplies feature-selection filter scores for the tidymodels stack. Version 0.2.0 adds five scoring methods — correlation, random forest importance, information gain, ROC AUC and cross tabulation — and moves the package from S3 to S7. It also gains a ranking layer: show_best_score_* and rank_best_score_* helpers for a single score, plus desirability-function helpers for optimising across several scores at once.
The package is being built out on two axes at once — the catalogue of scores, and the machinery for choosing between them. The desirability functions are the more telling half, since they assume users will filter on several criteria rather than one. Adopting S7 while still pre-1.0 suggests the object model is being settled before the API is frozen.
Expect more scoring methods on the same S7 interface and a 1.0 release once the score and ranking APIs stop moving; the ranking helpers' naming is the most likely thing to change first.
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.
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.
Expect share_y = TRUE to become the default and further ggplot2 4.x fallout, with connector updates arriving as the upstream SHAP packages release.
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 filtro or shapviz.
RMVMR is being tidied in lockstep with MVMR, the package it wraps
geoarrow tracks the GeoArrow spec and otherwise just keeps compiling
n2khab keeps retracting interpretations of habitat data it can't actually support
tidypolars is grinding toward complete dplyr coverage, one supported function at a time
OneSampleMR found that argument order in a formula was silently changing its estimates
bpbounds found the same swapped-cell bug twice and clamped its bounds back into range
See all filtro alternatives → · See all shapviz alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r package — within Analytics. filtro 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. filtro 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.
Top filtro alternatives in Analytics are ranked by recent ship velocity. Browse the "filtro alternatives" section above for the current picks, or visit /alternatives/filtro-r for the full list with editorial commentary on each.
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.