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Comparison · Infra & APIs

adjustedCurves vs survivoR

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

Shared themes:r-package

adjustedCurves vs survivoR: at a glance

FeatureadjustedCurvessurvivoR
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessurvival-analysis, causal-inference, r-package, biostatisticsdata-package, r-package, television, reality-tv
Last editorial update55m ago1h 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 survivoR?

A Survivor data package that keeps turning a TV show into a relational database

survivoR ships Survivor franchise data as R data frames covering the US, Australian, UK and New Zealand versions. Recent releases track broadcast: US48, US49 and US50 arrived across 2.3.6, 2.3.9 and 2.3.12, alongside AU09, AU12 and Australia vs. The World. The 2.3.12 release also reworked castaway_scores into an explicit three-tier structure - standardised residual scores, probabilistic scores bounded on [0,1], and combined scores - and added advantage_timeline as a long-format view of advantage movement.

Read the full survivoR trajectory →

adjustedCurves vs survivoR: 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.

S
survivoR
INFRA · APIS
0.0

A Survivor data package that keeps turning a TV show into a relational database

◆ Current state

survivoR ships Survivor franchise data as R data frames covering the US, Australian, UK and New Zealand versions. Recent releases track broadcast: US48, US49 and US50 arrived across 2.3.6, 2.3.9 and 2.3.12, alongside AU09, AU12 and Australia vs. The World. The 2.3.12 release also reworked castaway_scores into an explicit three-tier structure - standardised residual scores, probabilistic scores bounded on [0,1], and combined scores - and added advantage_timeline as a long-format view of advantage movement.

◆ Where it's heading

The work is less about adding seasons than about making the tables join cleanly. 2.3.1 rebuilt challenge_description and challenge_results around a shared challenge_id, added challenge characteristic flags and result notes, and put logical finalist, winner and jury flags on castaways. Since then the pattern repeats at smaller scale: boot_order as its own table, season_name deprecated everywhere except season_summary, castaways cleaned so people booted twice appear once. Derived analytical columns are being separated from raw records rather than mixed into them.

◆ Prediction

Expect the next release to add the current season's data on the same broadcast-following cadence, with any structural work continuing to split derived scores out of the raw tables.

Alternatives to adjustedCurves and survivoR

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 survivoR.

See all adjustedCurves alternatives → · See all survivoR alternatives →

Recent activity from adjustedCurves and survivoR

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

  1. 2mo agosurvivoRUS50 and AU12 land, castaway scores split into three tiers
  2. 6mo agoadjustedCurvesOff-by-one-step error corrected in cumulative incidence estimates
  3. 7mo agosurvivoRUS49 data completed and season 50 cast added
  4. 11mo agosurvivoRSurvivor Australia vs. The World added
  5. 1y agoadjustedCurvesIPTW curves can now extend to the last observed time
  6. 1y agosurvivoRboot_order table added and castaways deduplicated
  7. 2y agoadjustedCurvesDropped arguments and a wrong multiple-imputation pooling formula
  8. 2y agoadjustedCurvesRisk tables, contrast consolidation and faster bootstrapping
  9. 2y agosurvivoRComplete AU09 data reaches CRAN
  10. 2y agosurvivoRChallenge tables rebuilt around a shared linking key
  11. 3y agoadjustedCurvestmle and ostmle methods dropped
  12. 3y agoadjustedCurvesDependency compatibility and installation documentation

Frequently asked questions

What is the difference between adjustedCurves and survivoR?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. adjustedCurves and survivoR 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 survivoR?

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