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Comparison · Analytics
c3dr vs dfms
A side-by-side editorial comparison of c3dr and dfms — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:ropensci
c3dr vs dfms: at a glance
What is c3dr?
A biomechanics C3D reader graduated through rOpenSci review to CRAN, then learned to write force plates.
c3dr reads and writes C3D motion-capture files in R, wrapping the EZC3D library. It cleared rOpenSci peer review and moved into the rOpenSci organisation in April 2025, reached CRAN a month later, and shipped force-platform export in c3d_write() in August. Releases are close together and each one has a clear single purpose.
What is dfms?
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.
c3dr vs dfms: editorial side-by-side
c3dr
0.0ANALYTICS
A biomechanics C3D reader graduated through rOpenSci review to CRAN, then learned to write force plates.
◆ Current state
c3dr reads and writes C3D motion-capture files in R, wrapping the EZC3D library. It cleared rOpenSci peer review and moved into the rOpenSci organisation in April 2025, reached CRAN a month later, and shipped force-platform export in c3d_write() in August. Releases are close together and each one has a clear single purpose.
◆ Where it's heading
The package is filling in the write side of the read/write pair. Reading was in place from the start; 0.2.0 extends c3d_write() to force-platform data on a direct user request, and the accompanying work preserves matrix structure on import and tracks upstream EZC3D changes. The review-era releases hardened validation and error messages, so the current cycle can be spent on capability rather than polish.
◆ Prediction
Expect further coverage of C3D block types in the writer and continued tracking of EZC3D releases; the changelog gives no signal of analysis features beyond file I/O.
dfms
0.0ANALYTICS
Peer-reviewed, feature-complete, and now able to hand its models to other forecasting engines.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to c3dr and dfms
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 c3dr or dfms.
maplegend
The legend engine mapsf spun out, now covering legend types the parent map package can draw.
lang
R help pages translated on demand by whichever LLM you point it at.
mapsf
Thematic mapping in base R that finally got a theming system, then spent two years polishing legends.
qualtRics
qualtRics moved its contact functions onto XM Directory days before the old endpoints died.
fabletools
The tidyverts forecasting core rebuilt model combination on full residual covariance.
Recent activity from c3dr and dfms
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agodfmsconvert() exports models to dlm and KFAS state-space objects
- 6mo agodfms1.0: rOpenSci review passed, news decomposition added ⚡
- 6mo agodfmsMixed-frequency estimation gains AR(1) idiosyncratic errors
- 9mo agodfmsC++ compatibility with RcppArmadillo 15.0.2
- 11mo agoc3drc3d_write() gains force platform export
- 1y agodfmsFixes estimation with a single quarterly variable
- 1y agoc3drgcc 15 compilation fix
- 1y agoc3drFirst CRAN release
- 1y agodfmsAdds mixed-frequency estimation via quarterly.vars
- 1y agoc3drrOpenSci review lands; repo moves to rOpenSci
Frequently asked questions
What is the difference between c3dr and dfms?
Both compete on the same themes — ropensci — within Analytics. c3dr and dfms 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 c3dr better than dfms?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. c3dr and dfms 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 c3dr?
Top c3dr alternatives in Analytics are ranked by recent ship velocity. Browse the "c3dr alternatives" section above for the current picks, or visit /alternatives/c3dr for the full list with editorial commentary on each.
What are the best alternatives to dfms?
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.