cIRT
A choice-based IRT model published once in 2019 and kept compiling ever since
Comparison · Analytics
dcurves vs hubAdmin
A side-by-side editorial comparison of dcurves and hubAdmin — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
dcurves vs hubAdmin: 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 hubAdmin?
The config-authoring half of hubverse, pinned to whatever the schema is doing this quarter
hubAdmin builds and validates the JSON configuration that defines a hubverse forecast hub — rounds, model tasks, output types, target metadata. It is the administrator-facing member of the hubverse family, sitting alongside the packages that read and evaluate hub data. Its release cadence is set almost entirely by the hubverse schema, which it has now tracked from v4.0.0 through v6.0.0.
dcurves vs hubAdmin: 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.
hubAdmin
0.0ANALYTICS
The config-authoring half of hubverse, pinned to whatever the schema is doing this quarter
◆ Current state
hubAdmin builds and validates the JSON configuration that defines a hubverse forecast hub — rounds, model tasks, output types, target metadata. It is the administrator-facing member of the hubverse family, sitting alongside the packages that read and evaluate hub data. Its release cadence is set almost entirely by the hubverse schema, which it has now tracked from v4.0.0 through v6.0.0.
◆ Where it's heading
Every release here is legible as schema-following. New schema properties become new arguments, new schema constraints become new validate_config() checks, and the package version is essentially a marker for which schema generation it can author. The one thread that is genuinely its own is ergonomics: session-level options for schema version and branch, support for in-development schema branches, and a steadily stricter validator that now catches duplicate properties and mismatched target keys before a hub goes live.
◆ Prediction
With v6.0.0 support only partially landed, the next releases most likely finish the additional_metadata migration across the remaining create_* functions.
Alternatives to dcurves and hubAdmin
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 hubAdmin.
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 hubAdmin alternatives →
Recent activity from dcurves and hubAdmin
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 9mo agohubAdminSchema v6.0.0 additional_metadata support lands
- 9mo agodcurvesHTML5 documentation rebuild for CRAN
- 9mo agohubAdmintarget-data.json config validation added
- 1y agohubAdminTarget metadata gains optional properties for schema 5.1.0
- 1y agohubAdminValidator catches duplicate properties and mismatched target keys
- 1y agohubAdminSchema version and branch settable per session
- 1y agohubAdminOutput types follow the v4.0.0 is_required split
- 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 hubAdmin?
Both compete on the same themes — r-package — within Analytics. dcurves and hubAdmin 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 hubAdmin?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dcurves and hubAdmin 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 hubAdmin?
Top hubAdmin alternatives in Analytics are ranked by recent ship velocity. Browse the "hubAdmin alternatives" section above for the current picks, or visit /alternatives/hubadmin for the full list with editorial commentary on each.