MetaboAnalystR
The R engine behind MetaboAnalyst closes the gap from raw spectra to biological interpretation
A side-by-side editorial comparison of cIRT and fmtr — release velocity, themes, recent moves, and the top alternatives to consider.
A choice-based IRT model published once in 2019 and kept compiling ever since
cIRT implements Choice Item Response Theory, jointly modelling which item a respondent picks and how they perform on it — the setting where subjects choose between a harder and an easier question and the choice itself carries information. It comes out of the TMSA Lab, is built on Rcpp and RcppArmadillo, and has had one substantive release since reaching CRAN. Everything after early 2019 is build-system and toolchain upkeep.
Rebuilding SAS's formatting layer in R, one format specification at a time
fmtr applies formats to R data the way SAS applies them: named format catalogues, format lists, and an fapply() that maps a specification onto a vector. It is part of a family of packages that reconstruct SAS reporting idioms in R, and it shares infrastructure with them — labels.data.frame() was moved out to the common package, which fmtr now depends on. The recent releases have been closing specific gaps against SAS's own format vocabulary.
cIRT implements Choice Item Response Theory, jointly modelling which item a respondent picks and how they perform on it — the setting where subjects choose between a harder and an easier question and the choice itself carries information. It comes out of the TMSA Lab, is built on Rcpp and RcppArmadillo, and has had one substantive release since reaching CRAN. Everything after early 2019 is build-system and toolchain upkeep.
The package's whole functional history fits in a two-day window in January 2019, when the CRAN release and its immediate follow-ups were tagged in one batch, followed a day later by a release enabling C++11 and OpenMP and fixing the choice generation procedure. Since then the releases track other people's deprecations: Armadillo dropping conversions, RcppArmadillo requiring a different Makevars, R raising its floor. The 2025 release is entirely of that kind, down to swapping the README to Quarto.
The dependency floors were just raised to current Rcpp and RcppArmadillo, so the next release is most likely the one after Armadillo deprecates something else.
fmtr applies formats to R data the way SAS applies them: named format catalogues, format lists, and an fapply() that maps a specification onto a vector. It is part of a family of packages that reconstruct SAS reporting idioms in R, and it shares infrastructure with them — labels.data.frame() was moved out to the common package, which fmtr now depends on. The recent releases have been closing specific gaps against SAS's own format vocabulary.
The direction is parity, pursued in small increments. Quarter format codes were added because base R has none; the SAS best. format was reimplemented, then hardened against the variations people actually write; statistical summary helpers like fmt_mean_sd() and fmt_mean_stderr() cover the cell contents clinical tables need. The structural work is largely behind it, including the breaking 2022 move that handed labelling to a sibling package, so what remains is vocabulary coverage.
The pattern of adding a SAS format, then a release to handle its variants, suggests the next releases continue filling in format codes and summary helpers rather than changing how formats are applied.
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 cIRT or fmtr.
The R engine behind MetaboAnalyst closes the gap from raw spectra to biological interpretation
Standardised coefficients for models where standardising everything is wrong — but the feed only links out
Stream-network spatial models learning to run on data that no longer fits in memory
Bioconductor's installer, frozen at 1.30.x and tuned almost entirely through environment variables
Decision curve analysis, settled since 2022 and now moving only when its neighbours do
The config-authoring half of hubverse, pinned to whatever the schema is doing this quarter
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. cIRT and fmtr 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. cIRT and fmtr 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 cIRT alternatives in Analytics are ranked by recent ship velocity. Browse the "cIRT alternatives" section above for the current picks, or visit /alternatives/cirt for the full list with editorial commentary on each.
Top fmtr alternatives in Analytics are ranked by recent ship velocity. Browse the "fmtr alternatives" section above for the current picks, or visit /alternatives/fmtr for the full list with editorial commentary on each.