r2rtf
The clinical-report table engine learned Chinese, then learned to leave RTF entirely
Comparison · Analytics
datefixR vs rbmi
A side-by-side editorial comparison of datefixR and rbmi — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
datefixR vs rbmi: at a glance
What is datefixR?
The messy-date parser rewrote its core in Rust and came out 300x faster.
datefixR standardizes inconsistently formatted dates — the kind that arrive from spreadsheets and hand-entered clinical or survey data, with mixed separators, ambiguous orders, missing components, and month names in whatever language the source used. Version 2.0.0 rewrote the parsing core in Rust, reporting over 300x throughput against previous versions through fastpath handling of common formats and parallel column processing via a cores argument. Version 2.0.1 then spent itself cleaning up after that rewrite, restoring ordinal indicator support, stopping malformed dates from being silently cast to NA, and reinstating error messages that had gone missing.
What is rbmi?
Reference-based multiple imputation for trials, now shipping without Bayesian support by default.
rbmi implements reference-based multiple imputation for longitudinal clinical trial data with missing values — the estimand machinery regulators expect for handling intercurrent events and dropout. The consequential recent change was 1.3.0 moving rstan from a hard dependency to Suggests, which takes Bayesian imputation out of the default install. Since then the work has been documentation and nomenclature discipline: 1.6.1 standardized on MNAR over a mixed NMAR/MNAR vocabulary and deprecated the nmar.rm argument accordingly.
datefixR vs rbmi: editorial side-by-side
datefixR
0.0ANALYTICS
The messy-date parser rewrote its core in Rust and came out 300x faster.
◆ Current state
datefixR standardizes inconsistently formatted dates — the kind that arrive from spreadsheets and hand-entered clinical or survey data, with mixed separators, ambiguous orders, missing components, and month names in whatever language the source used. Version 2.0.0 rewrote the parsing core in Rust, reporting over 300x throughput against previous versions through fastpath handling of common formats and parallel column processing via a cores argument. Version 2.0.1 then spent itself cleaning up after that rewrite, restoring ordinal indicator support, stopping malformed dates from being silently cast to NA, and reinstating error messages that had gone missing.
◆ Where it's heading
Two long arcs meet here. The first is localization: Russian, Indonesian, German, Spanish month abbreviations, and experimental Roman numeral months accumulated release by release, with full translation of user-facing messages treated as a goal rather than a bonus. The second is the migration off R for the parsing hot path — internals began moving to C++ around 1.3.1 before the Rust rewrite replaced that work entirely. The 2.0.1 regressions show the cost of that move, since behavior that was implicit in the R implementation had to be re-specified.
◆ Prediction
The Rust core is one release into stabilization and 2.0.1 was entirely regression repair, so expect further correctness fixes against pre-2.0.0 behavior before any new format support lands.
rbmi
2.5ANALYTICS
Reference-based multiple imputation for trials, now shipping without Bayesian support by default.
◆ Current state
rbmi implements reference-based multiple imputation for longitudinal clinical trial data with missing values — the estimand machinery regulators expect for handling intercurrent events and dropout. The consequential recent change was 1.3.0 moving rstan from a hard dependency to Suggests, which takes Bayesian imputation out of the default install. Since then the work has been documentation and nomenclature discipline: 1.6.1 standardized on MNAR over a mixed NMAR/MNAR vocabulary and deprecated the nmar.rm argument accordingly.
◆ Where it's heading
The package is optimizing for adoption friction over feature breadth. Dropping a compiled Stan dependency from the default install, deprecating a bespoke seed argument in favor of base set.seed(), and aligning lsmeans() behavior and weight naming with emmeans all point the same direction — behave like a conventional R package rather than a specialized one. Documentation work in 1.6.1 covering @return on every exported function and executable examples reads as preparation for validation scrutiny rather than user demand.
◆ Prediction
Given the FAQ vignette's validation statement and the recent documentation completeness pass, the next work is more likely qualification and estimand documentation than new imputation methods.
Alternatives to datefixR and rbmi
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 datefixR or rbmi.
DoseFinding
New stewardship at openpharma, then two releases adding the methods MCP-Mod was missing
webmockr
The stubbing library added httr2 support, then spent a year cutting itself free of everything else
crul
crul took mocking back from webmockr and made it a property of the client itself
dendroNetwork
Six releases, six identical bodies — the feed carries the package abstract instead of release notes
chattr
chattr deleted every LLM integration it had written and outsourced the lot to ellmer
See all datefixR alternatives → · See all rbmi alternatives →
Recent activity from datefixR and rbmi
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 22d agorbmiMNAR nomenclature standardized, documentation completed
- 3mo agodatefixRRust rewrite regressions repaired, silent NA casting stopped
- 11mo agodatefixRParsing core rewritten in Rust for a 300x speedup ⚡
- 1y agorbmirstan demoted to Suggests, Bayesian imputation now opt-in ⚡
- 1y agodatefixRIndonesian month names and translations added
- 2y agodatefixR'ene' and 'ener' recognized as January
- 2y agorbmirbmi v1.2.5
- 3y agodatefixRRussian localization, Roman numeral months, Windows freeze fix
- 3y agodatefixRExcel leap-year offset and single-digit day fixes
Frequently asked questions
What is the difference between datefixR and rbmi?
Both compete on the same themes — r-package — within Analytics. rbmi is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is datefixR better than rbmi?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rbmi is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to datefixR?
Top datefixR alternatives in Analytics are ranked by recent ship velocity. Browse the "datefixR alternatives" section above for the current picks, or visit /alternatives/datefixr for the full list with editorial commentary on each.
What are the best alternatives to rbmi?
Top rbmi alternatives in Analytics are ranked by recent ship velocity. Browse the "rbmi alternatives" section above for the current picks, or visit /alternatives/rbmi for the full list with editorial commentary on each.