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Comparison · Infra & APIs

adjustedCurves vs microeco

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

Shared themes:r-package

adjustedCurves vs microeco: at a glance

FeatureadjustedCurvesmicroeco
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessurvival-analysis, causal-inference, r-package, biostatisticsmicrobiome, metabolomics, r-package, network-analysis
Last editorial update51m 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 microeco?

A microbiome analysis framework quietly grew a metabolomics half

microeco is a class-based R framework for microbial community data, organised as trans_* analysis objects layered over a microtable container. The 2.x line added trans_metab for metabolomics in 2.1.0, built pathway calculation, enrichment and network functions onto it in 2.2.0, and reached 2.3.0 with trans_niche and trans_phylo classes plus graphml export from the network module. Release notes are dense bullet lists where a handful of new classes sit among fifteen to twenty parameter fixes.

Read the full microeco trajectory →

adjustedCurves vs microeco: 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.

M
microeco
INFRA · APIS
0.0

A microbiome analysis framework quietly grew a metabolomics half

◆ Current state

microeco is a class-based R framework for microbial community data, organised as trans_* analysis objects layered over a microtable container. The 2.x line added trans_metab for metabolomics in 2.1.0, built pathway calculation, enrichment and network functions onto it in 2.2.0, and reached 2.3.0 with trans_niche and trans_phylo classes plus graphml export from the network module. Release notes are dense bullet lists where a handful of new classes sit among fifteen to twenty parameter fixes.

◆ Where it's heading

The package expands by adding analysis classes rather than rewriting existing ones, and the 2.x series widened its scope from microbial community structure to paired omics. trans_metab was the pivot; niche and phylogenetic classes in 2.3.0 extend the original microbiome side in parallel. Alongside that, a long maintenance thread tracks upstream churn - linewidth replacing size for ggplot2 v4.0, igraph namespace changes, lifecycle deprecations - which accounts for most of the bullet volume in any given release.

◆ Prediction

Expect further trans_* classes filling gaps around the metabolomics arm, since every 2.x release so far has introduced at least one new class alongside its fix list.

Alternatives to adjustedCurves and microeco

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 microeco.

See all adjustedCurves alternatives → · See all microeco alternatives →

Recent activity from adjustedCurves and microeco

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

  1. 1mo agomicroecoNiche and phylogenetic analysis classes join the framework
  2. 3mo agomicroecoPathway calculation, enrichment and network functions build out trans_metab
  3. 4mo agomicroecotrans_metab class brings metabolomics into a microbiome framework
  4. 6mo agoadjustedCurvesOff-by-one-step error corrected in cumulative incidence estimates
  5. 6mo agomicroecoStatistical functions gain direct visualization, plus a volcano plot
  6. 9mo agomicroecoggplot2 v4.0 compatibility pass plus network and normalization options
  7. 1y agoadjustedCurvesIPTW curves can now extend to the last observed time
  8. 1y agomicroecoParameter renames and namespace fixes across the trans_ classes
  9. 2y agoadjustedCurvesDropped arguments and a wrong multiple-imputation pooling formula
  10. 2y agoadjustedCurvesRisk tables, contrast consolidation and faster bootstrapping
  11. 3y agoadjustedCurvestmle and ostmle methods dropped
  12. 3y agoadjustedCurvesDependency compatibility and installation documentation

Frequently asked questions

What is the difference between adjustedCurves and microeco?

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

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

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