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Comparison · Infra & APIs

adjustedCurves vs bsvarSIGNs

A side-by-side editorial comparison of adjustedCurves and bsvarSIGNs — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

adjustedCurves vs bsvarSIGNs: at a glance

FeatureadjustedCurvesbsvarSIGNs
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessurvival-analysis, causal-inference, r-package, biostatisticsbayesian-statistics, econometrics, structural-var, macroeconomics
Last editorial update1h ago30m ago
WebsiteVisit →Visit →

What is adjustedCurves?

A survival curve package spending release after release correcting its own estimates

adjustedCurves computes confounder-adjusted survival and cumulative incidence curves across a range of estimators - IPTW, AIPTW, Aalen-Johansen, direct standardisation - with support for multiple imputation and bootstrapping. The recent releases are dominated by corrections to numbers the package already reported. Version 0.11.4 fixed cumulative incidence estimates under method="aalen_johansen" that were being read one time step early, which the maintainer notes could differ substantially when events are few, and added risk and event counts to the ggsurvplot conversion including correctly pooled values under multiple imputation.

Read the full adjustedCurves trajectory →

What is bsvarSIGNs?

Sign, zero and narrative restrictions brought into the bsvars ecosystem.

bsvarSIGNs estimates structural vector autoregressions identified by sign, zero and narrative restrictions, with the sampler in C++ and the objects, workflows and code structure deliberately matched to the bsvars package. Since the 1.0 launch in mid-2024 the releases have been consolidation: a fix pass, then a vignette, citation metadata and C++ changes to stay ahead of an upcoming compiler check.

Read the full bsvarSIGNs trajectory →

adjustedCurves vs bsvarSIGNs: editorial side-by-side

A
adjustedCurves
INFRA · APIS
0.0

A survival curve package spending release after release correcting its own estimates

◆ Current state

adjustedCurves computes confounder-adjusted survival and cumulative incidence curves across a range of estimators - IPTW, AIPTW, Aalen-Johansen, direct standardisation - with support for multiple imputation and bootstrapping. The recent releases are dominated by corrections to numbers the package already reported. Version 0.11.4 fixed cumulative incidence estimates under method="aalen_johansen" that were being read one time step early, which the maintainer notes could differ substantially when events are few, and added risk and event counts to the ggsurvplot conversion including correctly pooled values under multiple imputation.

◆ Where it's heading

Multiple imputation is the recurring fault line. The standard error pooling formula was implemented incorrectly until 0.11.2, then fixed again in 0.11.3 for the bootstrapping-plus-imputation combination, and 0.11.4 added the pooled risk table values that had previously been omitted entirely. A separate thread quietly removed capability: tmle and ostmle methods went in 0.10.0, and tmle support was pulled again in 0.11.1 after the concrete package left CRAN. Feature work does happen - risk tables, contrast arguments, the extend_to_last control on IPTW curves - but it is outweighed by correction.

◆ Prediction

Expect continued estimator-level corrections rather than new methods, and a possible return of tmle support if its upstream dependency returns to CRAN, since the removal was described as temporary.

B
bsvarSIGNs
INFRA · APIS
0.0

Sign, zero and narrative restrictions brought into the bsvars ecosystem.

◆ Current state

bsvarSIGNs estimates structural vector autoregressions identified by sign, zero and narrative restrictions, with the sampler in C++ and the objects, workflows and code structure deliberately matched to the bsvars package. Since the 1.0 launch in mid-2024 the releases have been consolidation: a fix pass, then a vignette, citation metadata and C++ changes to stay ahead of an upcoming compiler check.

◆ Where it's heading

The package launched with a published roadmap and the stated intention of intensive development, then spent its next two releases on documentation and compliance rather than new identification schemes. The 2.0 version number is not matched by the changes described under it. What the feed shows is a methods package settling in after launch, not one expanding.

◆ Prediction

The roadmap referenced at launch is the only stated plan, and the entries since do not say which part of it is next.

Alternatives to adjustedCurves and bsvarSIGNs

Other Infra & APIs 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 adjustedCurves or bsvarSIGNs.

See all adjustedCurves alternatives → · See all bsvarSIGNs alternatives →

Recent activity from adjustedCurves and bsvarSIGNs

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 6mo agoadjustedCurvesOff-by-one-step error corrected in cumulative incidence estimates
  2. 1y agoadjustedCurvesIPTW curves can now extend to the last observed time
  3. 1y agobsvarSIGNsFirst vignette, citation metadata, C++ check fixes
  4. 1y agobsvarSIGNsbsvarSIGNs 1.0.1
  5. 2y agoadjustedCurvesDropped arguments and a wrong multiple-imputation pooling formula
  6. 2y agobsvarSIGNsLaunch: sign, zero and narrative restrictions for bsvars
  7. 2y agoadjustedCurvesRisk tables, contrast consolidation and faster bootstrapping
  8. 3y agoadjustedCurvestmle and ostmle methods dropped
  9. 3y agoadjustedCurvesDependency compatibility and installation documentation

Frequently asked questions

What is the difference between adjustedCurves and bsvarSIGNs?

Both compete on the same themes — r-package — within Infra & APIs. adjustedCurves and bsvarSIGNs 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 adjustedCurves better than bsvarSIGNs?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. adjustedCurves and bsvarSIGNs 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to adjustedCurves?

Top adjustedCurves alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "adjustedCurves alternatives" section above for the current picks, or visit /alternatives/adjustedcurves for the full list with editorial commentary on each.

What are the best alternatives to bsvarSIGNs?

Top bsvarSIGNs alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "bsvarSIGNs alternatives" section above for the current picks, or visit /alternatives/bsvarsigns for the full list with editorial commentary on each.