cIRT
A choice-based IRT model published once in 2019 and kept compiling ever since
Comparison · Analytics
dcurves vs manymome
A side-by-side editorial comparison of dcurves and manymome — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
dcurves vs manymome: at a glance
What is dcurves?
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.
What is manymome?
Steady quarterly releases behind a feed that shows almost none of what changed.
manymome computes indirect and moderated effects for path-analysis and SEM models using bootstrap and Monte Carlo intervals. The four most recent CRAN releases (0.3.2 through 0.3.6) publish as bare pointers to the package's own NEWS page, so the feed carries no changelog text for any of them. Where content is visible, at 0.3.1 and 0.2.9, the work is fitting-engine breadth and speed rather than new methodology.
dcurves vs manymome: editorial side-by-side
dcurves
0.0ANALYTICS
Decision curve analysis, settled since 2022 and now moving only when its neighbours do
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
Nothing in these entries points to method or API work; expect the next release to be another compatibility or CRAN documentation patch.
manymome
0.0ANALYTICS
Steady quarterly releases behind a feed that shows almost none of what changed.
◆ Current state
manymome computes indirect and moderated effects for path-analysis and SEM models using bootstrap and Monte Carlo intervals. The four most recent CRAN releases (0.3.2 through 0.3.6) publish as bare pointers to the package's own NEWS page, so the feed carries no changelog text for any of them. Where content is visible, at 0.3.1 and 0.2.9, the work is fitting-engine breadth and speed rather than new methodology.
◆ Where it's heading
The legible arc runs toward turning the q_* quick-mediation wrappers into a complete workflow: lavaan::sem fitting with full information maximum likelihood for missing data, a plot method, and user-specified mediation models, alongside repeated optimization of do_boot() and do_mc(). Cadence is roughly quarterly and has held for two years. What the last four versions actually contain cannot be read from this feed.
◆ Prediction
Expect continued quarterly CRAN releases extending the q_* family; beyond that the entries shown do not support a confident call on direction.
Alternatives to dcurves and manymome
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 manymome.
MetaboAnalystR
The R engine behind MetaboAnalyst closes the gap from raw spectra to biological interpretation
fmtr
Rebuilding SAS's formatting layer in R, one format specification at a time
betaselectr
Standardised coefficients for models where standardising everything is wrong — but the feed only links out
SSN2
Stream-network spatial models learning to run on data that no longer fits in memory
BiocManager
Bioconductor's installer, frozen at 1.30.x and tuned almost entirely through environment variables
See all dcurves alternatives → · See all manymome alternatives →
Recent activity from dcurves and manymome
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agomanymome0.3.6 CRAN release
- 4mo agomanymome0.3.4 CRAN release
- 7mo agomanymome0.3.3 CRAN release
- 8mo agomanymome0.3.2 CRAN release
- 9mo agodcurvesHTML5 documentation rebuild for CRAN
- 11mo agomanymome0.3.1 CRAN release
- 1y agomanymome0.2.9 CRAN release
- 2y agodcurvesbroom.helpers added to Suggests for gtsummary 2.0
- 3y agodcurvesNet interventions plots now show treat-all and treat-none by default
- 4y agodcurvestest_consequences() reports accuracy across thresholds
Frequently asked questions
What is the difference between dcurves and manymome?
Both compete on the same themes — r-package — within Analytics. dcurves and manymome 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 dcurves better than manymome?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dcurves and manymome 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 dcurves?
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.
What are the best alternatives to manymome?
Top manymome alternatives in Analytics are ranked by recent ship velocity. Browse the "manymome alternatives" section above for the current picks, or visit /alternatives/manymome for the full list with editorial commentary on each.