n2kanalysis
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
Comparison · Analytics
RadialMR vs TwoSampleMR
A side-by-side editorial comparison of RadialMR and TwoSampleMR — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:mendelian-randomization
RadialMR vs TwoSampleMR: at a glance
| Feature | RadialMR | TwoSampleMR |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 0.0 | 0.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | mendelian-randomization, radial-plots, correctness-audit, statistical-inference | mendelian-randomization, genetic-epidemiology, correctness-fixes, opengwas |
| Last editorial update | 52m ago | 1h ago |
| Website | Visit → | Visit → |
What is RadialMR?
RadialMR's 2026 release corrects degrees of freedom that had been wrong since documentation.
RadialMR implements radial-plot formulations of IVW and MR-Egger Mendelian randomization, with outlier detection and interactive plotting. The recent history is thin on features and increasingly focused on the arithmetic: 1.2.4 in July 2026 fixes the degrees of freedom returned by egger_radial() to the documented n-2, corrects the heterogeneity p-value that inherited the same error, and repairs a negated lower bound in the random-effects bootstrap standard error search interval in ivw_radial().
What is TwoSampleMR?
The flagship Mendelian randomization package is auditing its own estimators, one bootstrap at a time.
TwoSampleMR is the MRC-IEU package for two-sample Mendelian randomization against OpenGWAS. Its 2026 releases are a sustained correctness review rather than feature work: 0.7.9 fixed bootstrap standard errors in mr_mode() and mr_rucker_bootstrap() that had been inflated since v0.6.30, and repaired two Rucker functions that were returning malformed objects. Point estimates were not affected by the bootstrap bug.
RadialMR vs TwoSampleMR: editorial side-by-side
RadialMR
0.0ANALYTICS
RadialMR's 2026 release corrects degrees of freedom that had been wrong since documentation.
◆ Current state
RadialMR implements radial-plot formulations of IVW and MR-Egger Mendelian randomization, with outlier detection and interactive plotting. The recent history is thin on features and increasingly focused on the arithmetic: 1.2.4 in July 2026 fixes the degrees of freedom returned by egger_radial() to the documented n-2, corrects the heterogeneity p-value that inherited the same error, and repairs a negated lower bound in the random-effects bootstrap standard error search interval in ivw_radial().
◆ Where it's heading
This is a package being read closely by its maintainer rather than extended. The 1.2.x line pairs statistical corrections with defensive hardening — an rmr_format class check so unformatted input fails with a clear message, and plotly_radial() dispatching on object class instead of counting list elements. Both are the kind of change made while auditing, not while building.
◆ Prediction
Expect the audit to continue into the remaining estimator internals and print methods rather than new radial variants; the entries show no feature work queued.
TwoSampleMR
0.0ANALYTICS
The flagship Mendelian randomization package is auditing its own estimators, one bootstrap at a time.
◆ Current state
TwoSampleMR is the MRC-IEU package for two-sample Mendelian randomization against OpenGWAS. Its 2026 releases are a sustained correctness review rather than feature work: 0.7.9 fixed bootstrap standard errors in mr_mode() and mr_rucker_bootstrap() that had been inflated since v0.6.30, and repaired two Rucker functions that were returning malformed objects. Point estimates were not affected by the bootstrap bug.
◆ Where it's heading
The pattern across these releases is a package being read line by line — a copy-paste weight vector in ldsc_rg(), chunking that produced zero splits for short SNP lists, penalisation recycled across the wrong SNPs, dead code paths removed, and regression tests added behind each fix. Alongside it runs a mechanical modernization pass: seq_len() for loop indices, tidyr in place of reshape2, current ggplot2 idioms, and the OpenGWAS URL migration. Feature work is limited to forest plot presentation.
◆ Prediction
Expect the audit to continue through the remaining bootstrap and jackknife routines, with releases staying in the 0.7.x patch range and each fix arriving with its own regression test.
Alternatives to RadialMR and TwoSampleMR
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 RadialMR or TwoSampleMR.
n1qn1c
A Fortran-descended optimizer got thread-safe, then found two flags that never worked.
ggstatsplot
ggstatsplot reached 1.0 by adding tests, having outsourced its statistics years ago.
collapse
collapse got a JSS paper and a 7x fmean speedup in the same release.
gtsummary
gtsummary is quietly rebuilding itself around analysis results data, one table verb at a time.
broadcast
broadcast is filling in NumPy-style array broadcasting for R, operator by operator.
See all RadialMR alternatives → · See all TwoSampleMR alternatives →
Recent activity from RadialMR and TwoSampleMR
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoRadialMRegger_radial() degrees of freedom corrected to n-2
- 1mo agoTwoSampleMRBootstrap standard errors corrected in mode and Rucker estimators
- 2mo agoTwoSampleMRWrong weight vector and chunking fixes across the estimator set
- 2mo agoTwoSampleMRDeprecated ggplot2 idioms and dead code removed
- 3mo agoTwoSampleMROpenGWAS URLs migrated and Wald ratio warnings quieted
- 3mo agoRadialMRroxygen2 bumped; package-level helpfile added
- 4mo agoTwoSampleMRCategorized forest plots aligned with the published figures
- 4mo agoTwoSampleMRFurther internal code optimizations
- 4mo agoRadialMRUnspecified codebase optimizations
- 1y agoRadialMRggplot2 v4 warning removed from plot_radial()
Frequently asked questions
What is the difference between RadialMR and TwoSampleMR?
Both compete on the same themes — mendelian-randomization — within Analytics. RadialMR and TwoSampleMR 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 RadialMR better than TwoSampleMR?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. RadialMR and TwoSampleMR 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 RadialMR?
Top RadialMR alternatives in Analytics are ranked by recent ship velocity. Browse the "RadialMR alternatives" section above for the current picks, or visit /alternatives/radialmr for the full list with editorial commentary on each.
What are the best alternatives to TwoSampleMR?
Top TwoSampleMR alternatives in Analytics are ranked by recent ship velocity. Browse the "TwoSampleMR alternatives" section above for the current picks, or visit /alternatives/twosamplemr for the full list with editorial commentary on each.