tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
Comparison · Analytics
errors vs TwoSampleMR
A side-by-side editorial comparison of errors and TwoSampleMR — release velocity, themes, recent moves, and the top alternatives to consider.
errors vs TwoSampleMR: at a glance
What is errors?
errors keeps making uncertainty print the way each scientific field expects.
errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.
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.
errors vs TwoSampleMR: editorial side-by-side
errors
0.0ANALYTICS
errors keeps making uncertainty print the way each scientific field expects.
◆ Current state
errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.
◆ Where it's heading
Two threads run through this history. One is formatting convergence: uncertainty has field-specific conventions, and the package has been absorbing them one contributed pull request at a time rather than imposing a single style. The other is keeping the errors class first-class everywhere R users work — vctrs methods for dplyr 1.0, a geom_errors() layer for ggplot2, missing-value and duplicate handling. Both are integration work, which is what a type-extension package mostly is.
◆ Prediction
Expect further formatting conventions to arrive as contributions, following PDG rounding and the decimals option, plus continued upkeep against ggplot2 aesthetic deprecations that have forced two of the last four releases.
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 errors 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 errors or TwoSampleMR.
tern.mmrm
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
ggmagnify
A single-purpose ggplot2 inset tool, refining the same three arguments.
symengine
An R symbolic-maths binding whose changelog is really the C++ core's release notes.
gtfstools
gtfstools stopped guarding its own object model and started accepting everyone else's.
quantities
The glue package that makes R carry units and uncertainty through the same calculation.
See all errors alternatives → · See all TwoSampleMR alternatives →
Recent activity from errors and TwoSampleMR
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 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
- 4mo agoTwoSampleMRCategorized forest plots aligned with the published figures
- 4mo agoTwoSampleMRFurther internal code optimizations
- 1y agoerrorserrors 0.4.4 replaces deprecated geom_errorbarh()
- 1y agoerrorserrors 0.4.3 supports decimals in parenthesis notation
- 2y agoerrorserrors 0.4.2 adds PDG rounding rules
- 2y agoerrorserrors 0.4.1 handles missing values, fixes na.rm
- 3y agoerrorserrors 0.4.0 adds geom_errors() for automatic errorbars
- 5y agoerrorserrors 0.3.6
Frequently asked questions
What is the difference between errors and TwoSampleMR?
They serve adjacent needs but don't currently overlap on shipped themes. errors 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 errors better than TwoSampleMR?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. errors 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 errors?
Top errors alternatives in Analytics are ranked by recent ship velocity. Browse the "errors alternatives" section above for the current picks, or visit /alternatives/errors-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.