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fairmodels vs RMVMR

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

fairmodels vs RMVMR: at a glance

FeaturefairmodelsRMVMR
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesfairness auditing, bias detection, dalex, r packagemendelian randomization, r, radial methods, genetics
Last editorial update2h 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 Version 0.2.2 set the package's core design when it superseded metric differences with ratios.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 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 →

fairmodels vs RMVMR: 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 Version 0.2.2 set the package's core design when it superseded metric differences with ratios.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.

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.

Alternatives to fairmodels and RMVMR

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 RMVMR.

See all fairmodels alternatives → · See all RMVMR alternatives →

Recent activity from fairmodels and RMVMR

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. 9mo agofairmodelsOne-line fix in fairness_heatmap
  6. 1y agoRMVMRRMVMR 0.4.1
  7. 3y agofairmodelsCRAN compliance fixes and citation update
  8. 4y agofairmodelsCRAN v1.2.0
  9. 5y agofairmodelsCRAN v1.1.0
  10. 5y agofairmodelsDocumentation fixes and trimmed example runtimes
  11. 5y agofairmodelsCorrects parity_loss in the cutoff functions

Frequently asked questions

What is the difference between fairmodels and RMVMR?

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

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