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Comparison · Analytics

ageproR vs hstats

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

ageproR vs hstats: at a glance

FeatureageproRhstats
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesfisheries-science, stock-assessment, r-package, file-format-validationinteraction statistics, partial dependence, model explainability, r package
Last editorial update59m ago4h ago
WebsiteVisit →Visit →

What is ageproR?

ageproR spent two years chasing a moving file format, then added the recruitment models that justify the effort.

An R interface for building and validating AGEPRO input files — the configuration format for a fisheries stock projection program used in stock assessments. Releases come every few months and are dominated by one recurring problem: keeping up with the AGEPRO input file format, which has moved between VERSION 4.0 and VERSION 4.25 in both directions across this window. The package spends considerable effort on validation, version detection, and clear error messages when a file does not match.

Read the full ageproR trajectory →

What is hstats?

hstats settled into maintenance after its 1.0 restructuring, with model coverage the only thing still growing.

hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.

Read the full hstats trajectory →

ageproR vs hstats: editorial side-by-side

A
ageproR
ANALYTICS
0.0

ageproR spent two years chasing a moving file format, then added the recruitment models that justify the effort.

◆ Current state

An R interface for building and validating AGEPRO input files — the configuration format for a fisheries stock projection program used in stock assessments. Releases come every few months and are dominated by one recurring problem: keeping up with the AGEPRO input file format, which has moved between VERSION 4.0 and VERSION 4.25 in both directions across this window. The package spends considerable effort on validation, version detection, and clear error messages when a file does not match.

◆ Where it's heading

The version-format churn is settling. Release 0.7.1 reverted the default back to VERSION 4.0 as a bugfix, and 0.9.0 finally set 4.25 as current while retaining a 4.0 compatibility string and improving the detection messages — a resolution rather than another reversal. With that stabilising, the substantive work has been the recruitment model coverage added in 0.8.0, which brought autocorrelated lognormal error structures into the package for the first time. Naming has been converging too, with output_stock_summary and summary_output_flag renamed to auxiliary variants to match the AGEPRO-GUI specification.

◆ Prediction

Expect the remaining recruitment models to be filled in against the AGEPRO specification, and the version handling to stay on 4.25 now that both formats are supported and validated rather than swapped.

H
hstats
ANALYTICS
0.0

hstats settled into maintenance after its 1.0 restructuring, with model coverage the only thing still growing.

◆ Current state

hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.

◆ Where it's heading

The structural work — the hstats_matrix object, quantile approximation, revised plotting — landed in 1.0.0 just outside this window, and nothing since has changed the package's shape. What continues is model-coverage plumbing: mlr3 classification modes, ranger survival behind a survival argument, and factor predictions added in 1.1.0 then removed again in 1.2.0. The most recent releases are compatibility-driven, tracking ggplot2 rather than the interaction statistics.

◆ Prediction

Expect the next release to be another dependency-compatibility pass or a new model backend working out of the box, rather than new interaction statistics.

Alternatives to ageproR and hstats

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 ageproR or hstats.

See all ageproR alternatives → · See all hstats alternatives →

Recent activity from ageproR and hstats

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

  1. 2mo agoageproRwrite_inp option flag detection fixed after 0.8.0 dependency changes
  2. 6mo agoageproRAGEPRO VERSION 4.25 becomes the default format, with 4.0 kept compatible
  3. 10mo agohstatsggplot 4.0 compatibility and test coverage
  4. 1y agoageproRFour recruitment models added, including autocorrelated lognormal error
  5. 1y agoageproRagepro_inp_model initialisation aligned with the other model classes
  6. 1y agoageproRVersion string read from line 1; invalid recruitment data blocks export
  7. 1y agoageproRInput file format reverted to VERSION 4.0 as a bugfix
  8. 1y agohstatsranger survival models supported out of the box
  9. 2y agohstatsMoves to ModelOriented; factor predictions removed
  10. 2y agohstatsICE facets for multioutput models; mlr3 fixes
  11. 2y agohstatsFaster data.frame paths; NaN H-statistics fixed
  12. 2y agohstatsFactor predictions and line-style 2D partial dependence

Frequently asked questions

What is the difference between ageproR and hstats?

They serve adjacent needs but don't currently overlap on shipped themes. ageproR and hstats 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 ageproR better than hstats?

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

Top ageproR alternatives in Analytics are ranked by recent ship velocity. Browse the "ageproR alternatives" section above for the current picks, or visit /alternatives/agepror-r for the full list with editorial commentary on each.

What are the best alternatives to hstats?

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