r2rtf
The clinical-report table engine learned Chinese, then learned to leave RTF entirely
A side-by-side editorial comparison of cfr and ymlthis — release velocity, themes, recent moves, and the top alternatives to consider.
cfr packaged delay-corrected severity estimation, then went quiet on maintenance.
The package estimates disease severity and case ascertainment while correcting for the delay between a case being reported and its outcome being known. After the 0.1.1 rework of the estimation internals and a maintainer handover to Adam Kucharski, activity dropped to a vignette and an R-devel compatibility patch in February 2025.
ymlthis retired itself, naming Quarto as the reason it no longer needs to exist.
ymlthis built R Markdown YAML front matter programmatically — a fluent `yml_*()` interface plus RStudio add-ins, so users did not have to hand-write metadata blocks whose valid fields were scattered across output-format documentation. Version 1.0.0 declares the package retired, with only CRAN-preserving changes to follow, and states the reason plainly: Quarto now provides good YAML support.
The package estimates disease severity and case ascertainment while correcting for the delay between a case being reported and its outcome being known. After the 0.1.1 rework of the estimation internals and a maintainer handover to Adam Kucharski, activity dropped to a vignette and an R-devel compatibility patch in February 2025.
The methodological work is done and consolidated: likelihood approximation is now selected automatically from outbreak size and an initial severity estimate, and the internals were renamed with a dot prefix to close the public surface down to cfr_static(), cfr_rolling() and the data-preparation generic. Releases since have been documentation and compatibility only.
The 0.1.0 notes flagged time-varying ascertainment as future work and it has not appeared in the two releases since; nothing in these entries indicates when or whether it lands.
ymlthis built R Markdown YAML front matter programmatically — a fluent `yml_*()` interface plus RStudio add-ins, so users did not have to hand-write metadata blocks whose valid fields were scattered across output-format documentation. Version 1.0.0 declares the package retired, with only CRAN-preserving changes to follow, and states the reason plainly: Quarto now provides good YAML support.
The retirement is the endpoint of a long drift. Between 2020 and 2022 every release was reactive — patching around a crayon update that mangled rendered YAML, tracking shiny 1.6, following roxygen2 7.0.0, fixing a typo in an add-in. No new capability has landed in six years, and the four-year gap before 1.0.0 had already answered the question the release note finally makes explicit.
Nothing further of substance is expected — the stated policy is changes only where CRAN requires them, so the next release, if any, will be a compatibility patch.
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 cfr or ymlthis.
The clinical-report table engine learned Chinese, then learned to leave RTF entirely
New stewardship at openpharma, then two releases adding the methods MCP-Mod was missing
The stubbing library added httr2 support, then spent a year cutting itself free of everything else
crul took mocking back from webmockr and made it a property of the client itself
Six releases, six identical bodies — the feed carries the package abstract instead of release notes
chattr deleted every LLM integration it had written and outsourced the lot to ellmer
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. cfr and ymlthis 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cfr and ymlthis 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.
Top cfr alternatives in Analytics are ranked by recent ship velocity. Browse the "cfr alternatives" section above for the current picks, or visit /alternatives/cfr for the full list with editorial commentary on each.
Top ymlthis alternatives in Analytics are ranked by recent ship velocity. Browse the "ymlthis alternatives" section above for the current picks, or visit /alternatives/ymlthis for the full list with editorial commentary on each.