r2rtf
The clinical-report table engine learned Chinese, then learned to leave RTF entirely
A side-by-side editorial comparison of dfms and pharmaverseadam — release velocity, themes, recent moves, and the top alternatives to consider.
Peer-reviewed, feature-complete, and now able to hand its models to other forecasting engines.
dfms estimates dynamic factor models in R, the workhorse for nowcasting economic activity from ragged, mixed-frequency data. The package worked through the Banbura and Modugno (2014) specification in stages — quarterly variables in 0.3.0, AR(1) idiosyncratic errors combined with mixed frequency in 0.4.0 — then declared 1.0.0 feature-complete on completing rOpenSci peer review, adding news decomposition to attribute forecast revisions to specific data releases. Version 1.0.1 adds convert(), which exports fitted models to dlm or KFAS state-space objects.
pharmaverseadam is the pharmaverse's test-data mirror, and it now covers neurology.
pharmaverseadam ships pre-built ADaM datasets generated by running the admiral family's own templates, so package authors and trainers have realistic analysis data without writing derivations first. The 1.3.0 release pulls in `ADAPET`, `ADTPET` and `ADNV` from admiralneuro and an anti-drug antibody dataset from admiral itself, and regenerates everything against current versions of seven upstream packages. Variables are now ordered and grouped to ADaM IG structure.
dfms estimates dynamic factor models in R, the workhorse for nowcasting economic activity from ragged, mixed-frequency data. The package worked through the Banbura and Modugno (2014) specification in stages — quarterly variables in 0.3.0, AR(1) idiosyncratic errors combined with mixed frequency in 0.4.0 — then declared 1.0.0 feature-complete on completing rOpenSci peer review, adding news decomposition to attribute forecast revisions to specific data releases. Version 1.0.1 adds convert(), which exports fitted models to dlm or KFAS state-space objects.
The package has finished the implementation programme it set out in its 2023 vignette and is now working on the edges: interoperability with other state-space packages rather than more estimation methods of its own. The convert() function is the clearest signal — instead of implementing smoothing and prediction intervals natively, it hands the model to packages that already have them. The rOpenSci move also puts it on a review-backed, documented footing that research users can cite.
Expect continued interoperability and diagnostic work rather than new estimators, since the maintainer has explicitly scoped the package as complete. Bug fixes against RcppArmadillo releases will likely remain the other recurring driver.
pharmaverseadam ships pre-built ADaM datasets generated by running the admiral family's own templates, so package authors and trainers have realistic analysis data without writing derivations first. The 1.3.0 release pulls in `ADAPET`, `ADTPET` and `ADNV` from admiralneuro and an anti-drug antibody dataset from admiral itself, and regenerates everything against current versions of seven upstream packages. Variables are now ordered and grouped to ADaM IG structure.
Coverage tracks the pharmaverse's own therapeutic-area expansion with a lag of one release: pediatrics arrived in 1.1.0, metabolic in 1.2.0, neurology in 1.3.0. The other consistent thread is a slow move off development versions — 1.1.0 and 1.2.0 both had to pin unreleased upstream builds to get working templates, while 1.3.0 cites released versions throughout. Reorganising the reference page by therapeutic area is the same maturation showing up in documentation.
Expect the next release to follow the established pattern — a refresh against current upstream versions plus datasets from whichever admiral therapeutic-area package reaches a stable release next.
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 dfms or pharmaverseadam.
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
See all dfms alternatives → · See all pharmaverseadam alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. dfms and pharmaverseadam 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. dfms and pharmaverseadam 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 dfms alternatives in Analytics are ranked by recent ship velocity. Browse the "dfms alternatives" section above for the current picks, or visit /alternatives/dfms for the full list with editorial commentary on each.
Top pharmaverseadam alternatives in Analytics are ranked by recent ship velocity. Browse the "pharmaverseadam alternatives" section above for the current picks, or visit /alternatives/pharmaverseadam for the full list with editorial commentary on each.