RMVMR
RMVMR is being tidied in lockstep with MVMR, the package it wraps
Comparison · Analytics
fairmodels vs filtro
A side-by-side editorial comparison of fairmodels and filtro — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r package
fairmodels vs filtro: at a glance
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 Version 0.2.2 set the package's core design when it superseded metric differences with ratios.
What is filtro?
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.
fairmodels vs filtro: editorial side-by-side
fairmodels
0.0ANALYTICS
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 Version 0.2.2 set the package's core design when it superseded metric differences with ratios.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.
filtro
0.0ANALYTICS
filtro moves to S7 and multiplies its feature-scoring methods in a single release.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to fairmodels and filtro
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 filtro.
geoarrow-r
geoarrow tracks the GeoArrow spec and otherwise just keeps compiling
n2khab
n2khab keeps retracting interpretations of habitat data it can't actually support
tidypolars
tidypolars is grinding toward complete dplyr coverage, one supported function at a time
OneSampleMR
OneSampleMR found that argument order in a formula was silently changing its estimates
bpbounds
bpbounds found the same swapped-cell bug twice and clamped its bounds back into range
See all fairmodels alternatives → · See all filtro alternatives →
Recent activity from fairmodels and filtro
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 9mo agofairmodelsOne-line fix in fairness_heatmap
- 11mo agofiltroFive new filter scores and the move to S7 ⚡
- 11mo agofiltroDevelopment build: score transformation handling
- 3y agofairmodelsCRAN compliance fixes and citation update
- 4y agofairmodelsCRAN v1.2.0
- 5y agofairmodelsCRAN v1.1.0
- 5y agofairmodelsDocumentation fixes and trimmed example runtimes
- 5y agofairmodelsCorrects parity_loss in the cutoff functions
Frequently asked questions
What is the difference between fairmodels and filtro?
Both compete on the same themes — r package — within Analytics. fairmodels and filtro 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 filtro?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fairmodels and filtro 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 filtro?
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.