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Comparison · Analytics

epikit vs TwoSampleMR

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

epikit vs TwoSampleMR: at a glance

FeatureepikitTwoSampleMR
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesepidemiology, field-data, date-handling, r-packagemendelian-randomization, genetic-epidemiology, correctness-fixes, opengwas
Last editorial update53m ago5h ago
WebsiteVisit →Visit →

What is epikit?

epikit narrows to field-epidemiology helpers, handing proportions to a sibling package

epikit is a set of small helpers for applied epidemiology in R — age categorisation, date reconstruction from partial records, and related field-data chores, developed in the R4Epis orbit. Version 0.2.0 moved the proportion functions out to epitabulate, improved how find_date_cause(), find_start_date() and find_end_date() handle dates falling outside the period, and added a floor argument to age_categories() so the lowest band reads as under one rather than zero to zero.

Read the full epikit trajectory →

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.

Read the full TwoSampleMR trajectory →

epikit vs TwoSampleMR: editorial side-by-side

E
epikit
ANALYTICS
0.0

epikit narrows to field-epidemiology helpers, handing proportions to a sibling package

◆ Current state

epikit is a set of small helpers for applied epidemiology in R — age categorisation, date reconstruction from partial records, and related field-data chores, developed in the R4Epis orbit. Version 0.2.0 moved the proportion functions out to epitabulate, improved how find_date_cause(), find_start_date() and find_end_date() handle dates falling outside the period, and added a floor argument to age_categories() so the lowest band reads as under one rather than zero to zero.

◆ Where it's heading

The package is being scoped down rather than built out. The 0.1.3 restructuring and the 0.2.0 handover of proportions to epitabulate are the same move made twice: push functionality into the package where it belongs and keep epikit to the toolkit that field epidemiologists reach for directly. The rest of the history is dependency compatibility work against dplyr and tibble.

◆ Prediction

With proportions gone and dependencies trimmed, the remaining functions cluster tightly around dates and age bands, so further refinement of the date-reconstruction helpers is more likely than new capability areas.

T
TwoSampleMR
ANALYTICS
0.0

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 epikit 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 epikit or TwoSampleMR.

See all epikit alternatives → · See all TwoSampleMR alternatives →

Recent activity from epikit and TwoSampleMR

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

  1. 1mo agoTwoSampleMRBootstrap standard errors corrected in mode and Rucker estimators
  2. 2mo agoTwoSampleMRWrong weight vector and chunking fixes across the estimator set
  3. 2mo agoTwoSampleMRDeprecated ggplot2 idioms and dead code removed
  4. 3mo agoTwoSampleMROpenGWAS URLs migrated and Wald ratio warnings quieted
  5. 4mo agoTwoSampleMRCategorized forest plots aligned with the published figures
  6. 4mo agoTwoSampleMRFurther internal code optimizations
  7. 9mo agoepikitProportion functions moved to epitabulate; date helpers warn correctly
  8. 3y agoepikitFunctions rearranged across sibling packages
  9. 5y agoepikitRaise dplyr and tibble minimums; move CI to GitHub Actions
  10. 5y agoepikitCompatibility release for dplyr 1.0.0
  11. 6y agoepikitFirst CRAN release

Frequently asked questions

What is the difference between epikit and TwoSampleMR?

They serve adjacent needs but don't currently overlap on shipped themes. epikit 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 epikit better than TwoSampleMR?

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

Top epikit alternatives in Analytics are ranked by recent ship velocity. Browse the "epikit alternatives" section above for the current picks, or visit /alternatives/epikit-r 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.