cIRT
A choice-based IRT model published once in 2019 and kept compiling ever since
A side-by-side editorial comparison of dcurves and MetaboAnalystR — release velocity, themes, recent moves, and the top alternatives to consider.
Decision curve analysis, settled since 2022 and now moving only when its neighbours do
dcurves implements decision curve analysis — evaluating a prediction model or diagnostic test by net benefit across the range of thresholds a clinician might plausibly use, rather than by a single discrimination statistic. Its API stabilised in 2022 around dca() and test_consequences(). The two releases since exist because gtsummary and CRAN documentation rules changed, not because the method did.
The R engine behind MetaboAnalyst closes the gap from raw spectra to biological interpretation
MetaboAnalystR is the scriptable form of the MetaboAnalyst web platform, carrying several hundred functions for metabolomics data analysis, visualisation and functional interpretation. Its releases have steadily pushed the starting line further upstream: version 1 assumed processed data, version 2 added raw LC-MS spectral processing, and the 4.x line presents the whole path from raw spectra through compound identification to functional interpretation as one workflow. It also now claims exposomics alongside metabolomics as an application area.
dcurves implements decision curve analysis — evaluating a prediction model or diagnostic test by net benefit across the range of thresholds a clinician might plausibly use, rather than by a single discrimination statistic. Its API stabilised in 2022 around dca() and test_consequences(). The two releases since exist because gtsummary and CRAN documentation rules changed, not because the method did.
The package reached its intended scope quickly and then stopped. Its 2022 releases did the substantive work: adding threshold-level diagnostic accuracy, tightening argument validation, and taking one breaking change to make net-interventions-avoided plots show the treat-all and treat-none reference lines by default. Since then it has moved only as a dependent of the wider tidy-modelling documentation ecosystem it plugs into.
Nothing in these entries points to method or API work; expect the next release to be another compatibility or CRAN documentation patch.
MetaboAnalystR is the scriptable form of the MetaboAnalyst web platform, carrying several hundred functions for metabolomics data analysis, visualisation and functional interpretation. Its releases have steadily pushed the starting line further upstream: version 1 assumed processed data, version 2 added raw LC-MS spectral processing, and the 4.x line presents the whole path from raw spectra through compound identification to functional interpretation as one workflow. It also now claims exposomics alongside metabolomics as an application area.
The consistent move is absorbing steps that users previously stitched together from separate tools. Peak picking, alignment and annotation came in with 2.0; automated feature detection optimisation and compound identification came with the 4.x work. The releases are infrequent and paper-shaped — each major version is announced with publication text rather than a change list — which makes the version history read as a sequence of methods papers more than a software cadence.
The exposomics framing is the newest element and the least built out in these entries, which makes it the most likely direction for the next round of work.
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 dcurves or MetaboAnalystR.
A choice-based IRT model published once in 2019 and kept compiling ever since
Rebuilding SAS's formatting layer in R, one format specification at a time
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
The config-authoring half of hubverse, pinned to whatever the schema is doing this quarter
See all dcurves alternatives → · See all MetaboAnalystR alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. dcurves and MetaboAnalystR 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. dcurves and MetaboAnalystR 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 dcurves alternatives in Analytics are ranked by recent ship velocity. Browse the "dcurves alternatives" section above for the current picks, or visit /alternatives/dcurves for the full list with editorial commentary on each.
Top MetaboAnalystR alternatives in Analytics are ranked by recent ship velocity. Browse the "MetaboAnalystR alternatives" section above for the current picks, or visit /alternatives/metaboanalystr for the full list with editorial commentary on each.