← Back to home
Comparison · Analytics

medrobust vs susier

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

medrobust vs susier: at a glance

Featuremedrobustsusier
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themescausal mediation, partial identification, misclassification, sensitivity analysisr-package, statistical-genetics, fine-mapping, cpp-bindings
Last editorial update3h ago47m ago
WebsiteVisit →Visit →

What is medrobust?

medrobust made its partial-identification bounds usable by giving them confidence intervals.

medrobust computes partial-identification bounds for mediation effects when exposure or mediator is differentially misclassified, part of the Data-Wise mediationverse. Its 0.2.0 release corrected three estimator defects against population oracles and added Imbens-Manski confidence intervals for the bounds; the two releases since have paired each identification path with a real public-domain dataset and a worked vignette. CRAN is deferred, with distribution through GitHub and r-universe.

Read the full medrobust trajectory →

What is susier?

Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs

susieR implements the Sum of Single Effects regression model for variable selection and fine-mapping, widely used in statistical genetics. The recent releases are a tight run of correctness work concentrated in one area: null effect trimming. Version 0.15.55 fixed trimming under the Servin-Stephens residual variance method, 0.15.56 fixed it again for non-uniform prior weights fourteen minutes later, 0.15.57 corrected an ELBO null space term for RSS with X and a matrix symmetry check, and 0.15.58 addressed an alpha0/beta0 issue. Version 0.16.0 migrates the C++ bindings from Rcpp to cpp11 with cpp11armadillo.

Read the full susier trajectory →

medrobust vs susier: editorial side-by-side

M
medrobust
ANALYTICS
0.0

medrobust made its partial-identification bounds usable by giving them confidence intervals.

◆ Current state

medrobust computes partial-identification bounds for mediation effects when exposure or mediator is differentially misclassified, part of the Data-Wise mediationverse. Its 0.2.0 release corrected three estimator defects against population oracles and added Imbens-Manski confidence intervals for the bounds; the two releases since have paired each identification path with a real public-domain dataset and a worked vignette. CRAN is deferred, with distribution through GitHub and r-universe.

◆ Where it's heading

The pattern is deliberate and symmetric: 0.3.0 shipped the mediator-side example on NCHS natality data, 0.4.0 its exposure-side mirror on NHANES, each demonstrating what the bounds do when reporting accuracy is allowed to depend on the outcome. Alongside that runs a consistent concern with failing usefully rather than loudly — bound_ne() returns NA bounds with a machine-readable reason and a typed condition instead of aborting, so a simulation replicate is recorded rather than lost, and non-finite endpoint standard errors produce a documented NA rather than a silent one. That is a package expecting to be run thousands of times inside someone else's loop.

◆ Prediction

Both identification paths now have a dataset, a vignette and interval coverage, so the next release is most likely the deferred CRAN submission rather than new methodology.

S
susier
ANALYTICS
0.0

Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs

◆ Current state

susieR implements the Sum of Single Effects regression model for variable selection and fine-mapping, widely used in statistical genetics. The recent releases are a tight run of correctness work concentrated in one area: null effect trimming. Version 0.15.55 fixed trimming under the Servin-Stephens residual variance method, 0.15.56 fixed it again for non-uniform prior weights fourteen minutes later, 0.15.57 corrected an ELBO null space term for RSS with X and a matrix symmetry check, and 0.15.58 addressed an alpha0/beta0 issue. Version 0.16.0 migrates the C++ bindings from Rcpp to cpp11 with cpp11armadillo.

◆ Where it's heading

The version-number churn understates how narrow this work is — four consecutive releases touching the same trimming and residual-variance machinery suggests one area where the implementation and the intended behavior had drifted apart. The 0.16.0 binding migration is the only structural change, and it is invisible to users while mattering for build portability and long-term maintenance. Development is clearly active, with automated release tooling and dependency bumps flowing through the same stream.

◆ Prediction

With the binding migration just landed, near-term releases are likely to address fallout from it alongside continued fixes in the same trimming and residual-variance code.

Alternatives to medrobust and susier

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 medrobust or susier.

See all medrobust alternatives → · See all susier alternatives →

Recent activity from medrobust and susier

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

  1. 2mo agomedrobustNHANES exposure-side misclassification example dataset
  2. 2mo agomedrobustNatality example dataset; bounds degrade instead of aborting
  3. 2mo agomedrobustBounds corrected against oracles; Imbens-Manski intervals added
  4. 3mo agosusierMigrates C++ bindings from Rcpp to cpp11 and cpp11armadillo
  5. 3mo agosusierFixes alpha0/beta0 handling under Servin-Stephens
  6. 4mo agosusierCorrects the null space ELBO term for RSS with X
  7. 5mo agosusierFixes null effect trimming with non-uniform prior weights
  8. 5mo agosusierFixes null effect trimming under Servin-Stephens estimation

Frequently asked questions

What is the difference between medrobust and susier?

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

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

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

What are the best alternatives to susier?

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