rjd3highfreq
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
Comparison · Analytics
ageproR vs hdnom
A side-by-side editorial comparison of ageproR and hdnom — release velocity, themes, recent moves, and the top alternatives to consider.
ageproR vs hdnom: at a glance
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.
What is hdnom?
hdnom is in pure custodial mode, absorbing glmnet's changes so its users don't have to
hdnom builds nomograms and validation/calibration workflows for high-dimensional Cox survival models on top of glmnet, ncvreg and penalized. The package's own interface has been stable since the 6.0.0 refactor in 2019; every release since has been maintenance. The recent run is entirely about surviving glmnet's evolution — a lambda-selection rule argument, then a cox.ties argument pinning the old tie handling.
ageproR vs hdnom: editorial side-by-side
ageproR
0.0ANALYTICS
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.
hdnom
5.0ANALYTICS
hdnom is in pure custodial mode, absorbing glmnet's changes so its users don't have to
◆ Current state
hdnom builds nomograms and validation/calibration workflows for high-dimensional Cox survival models on top of glmnet, ncvreg and penalized. The package's own interface has been stable since the 6.0.0 refactor in 2019; every release since has been maintenance. The recent run is entirely about surviving glmnet's evolution — a lambda-selection rule argument, then a cox.ties argument pinning the old tie handling.
◆ Where it's heading
The releases track two upstream pressures with no feature work of its own. glmnet is the larger one: its 4.1-9 change to how Cox cross-validation errors are normalized made lambda.1se select null models far more often, forcing hdnom to expose a rule argument and switch its examples to lambda.min. R-devel is the other, producing a steady trickle of strict-headers, deprecated-symbol and check-note fixes. The pattern is consistent — absorb the upstream change, default to whatever preserves existing behaviour, let users opt into the new one.
◆ Prediction
The cox.ties default is explicitly pinned to "breslow" to silence glmnet's migration warning, which is a deferral rather than a decision; expect a future release to flip that default to "efron" once glmnet completes the transition.
Alternatives to ageproR and hdnom
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 hdnom.
audubon
audubon's release feed is almost entirely Renovate bumping the JavaScript toolchain behind its Japanese text splitter.
affiner
affiner is quietly turning a grid transformation helper into a small computational geometry library.
r-ledger
ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.
gridpattern
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
distributional
distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
See all ageproR alternatives → · See all hdnom alternatives →
Recent activity from ageproR and hdnom
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 18d agohdnomhdnom 6.2.1
- 18d agohdnomhdnom 6.2.0 pins Cox tie handling ahead of glmnet's migration
- 2mo agoageproRwrite_inp option flag detection fixed after 0.8.0 dependency changes
- 6mo agoageproRAGEPRO VERSION 4.25 becomes the default format, with 4.0 kept compatible
- 1y agoageproRFour recruitment models added, including autocorrelated lognormal error ⚡
- 1y agohdnomhdnom 6.1.0 exposes lambda selection after a glmnet normalization change
- 1y agoageproRagepro_inp_model initialisation aligned with the other model classes
- 1y agoageproRVersion string read from line 1; invalid recruitment data blocks export
- 1y agoageproRInput file format reverted to VERSION 4.0 as a bugfix
- 1y agohdnomhdnom 6.0.4
- 2y agohdnomhdnom 6.0.3
- 3y agohdnomhdnom 6.0.2
Frequently asked questions
What is the difference between ageproR and hdnom?
They serve adjacent needs but don't currently overlap on shipped themes. hdnom is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is ageproR better than hdnom?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. hdnom is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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 hdnom?
Top hdnom alternatives in Analytics are ranked by recent ship velocity. Browse the "hdnom alternatives" section above for the current picks, or visit /alternatives/hdnom for the full list with editorial commentary on each.