cIRT
A choice-based IRT model published once in 2019 and kept compiling ever since
Comparison · Analytics
dcurves vs enderecobr
A side-by-side editorial comparison of dcurves and enderecobr — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
dcurves vs enderecobr: 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 enderecobr?
Brazilian address standardisation moves its core to Rust, betting on throughput over pure R
enderecobr standardises Brazilian address fields — street types, neighbourhoods, states, postcodes, house numbers — into consistent forms so records from different registries can be compared. It comes out of the ipeaGIT ecosystem and its API is a family of padronizar_* functions plus one padronizar_enderecos() that runs them together. The 0.5.0 release rewrote those standardisation functions in Rust with a documented speedup.
dcurves vs enderecobr: 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.
enderecobr
0.0ANALYTICS
Brazilian address standardisation moves its core to Rust, betting on throughput over pure R
◆ Current state
enderecobr standardises Brazilian address fields — street types, neighbourhoods, states, postcodes, house numbers — into consistent forms so records from different registries can be compared. It comes out of the ipeaGIT ecosystem and its API is a family of padronizar_* functions plus one padronizar_enderecos() that runs them together. The 0.5.0 release rewrote those standardisation functions in Rust with a documented speedup.
◆ Where it's heading
Two years of releases were about control and correctness: new formato arguments letting callers choose state names or abbreviations, integers or characters for house numbers, and a run of fixes for numbers mangled by thousands separators. That work settled the semantics. With the behaviour pinned down, the Rust rewrite becomes the natural next move, and the release pairs it with new matching rules for the two messiest fields, neighbourhoods and street names.
◆ Prediction
The rewrite covers the standardisation functions specifically, so the remaining pure-R paths around them are the likely next targets, alongside continued rule additions for street and neighbourhood variants.
Alternatives to dcurves and enderecobr
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 enderecobr.
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 enderecobr alternatives →
Recent activity from dcurves and enderecobr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7mo agoenderecobrStandardisation functions rewritten in Rust ⚡
- 9mo agodcurvesHTML5 documentation rebuild for CRAN
- 1y agoenderecobrNamespaced calls no longer error on internal warnings
- 1y agoenderecobrHouse numbers gain output format control, thousands-separator bug fixed
- 1y agoenderecobrStates can be standardised to full names or abbreviations
- 1y agoenderecobrAuthor added to package metadata
- 1y agoenderecobrStreet-type functions added and output columns given a naming convention
- 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 enderecobr?
Both compete on the same themes — r-package — within Analytics. dcurves and enderecobr 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 enderecobr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dcurves and enderecobr 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 enderecobr?
Top enderecobr alternatives in Analytics are ranked by recent ship velocity. Browse the "enderecobr alternatives" section above for the current picks, or visit /alternatives/enderecobr for the full list with editorial commentary on each.