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Comparison · Analytics
ageproR vs ardlverse
A side-by-side editorial comparison of ageproR and ardlverse — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
ageproR vs ardlverse: 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 ardlverse?
An outside audit against Stata found seven errors in ardlverse's panel estimator, including regressions with no intercept.
A small R package for autoregressive distributed lag models, with only three releases on record. The first two were administrative — a CRAN version note and a Zenodo metadata update. The third, 2.0.0, is a correction release built entirely from an external audit of panel_ardl() against Stata's xtpmg, and it is the only entry here with substantive content.
ageproR vs ardlverse: 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.
ardlverse
0.0ANALYTICS
An outside audit against Stata found seven errors in ardlverse's panel estimator, including regressions with no intercept.
◆ Current state
A small R package for autoregressive distributed lag models, with only three releases on record. The first two were administrative — a CRAN version note and a Zenodo metadata update. The third, 2.0.0, is a correction release built entirely from an external audit of panel_ardl() against Stata's xtpmg, and it is the only entry here with substantive content.
◆ Where it's heading
The package's direction is now set by verification against an established reference implementation rather than by feature work. The seven fixes bring panel_ardl() into strict alignment with the original Pesaran, Shin and Smith framework, and the most serious of them is structural: internal regressions used lm.fit(), which unlike lm() does not append an intercept, so every short-run regression across the PMG, MG and DFE estimators was forced through the origin. Design matrices now carry a column of ones and DFE reconstructs the grand-mean intercept to match standard fixed-effects output.
◆ Prediction
Expect the next releases to extend the same audit approach to the remaining estimators, since a package that has been validated against xtpmg on one function invites the same question about the rest.
Alternatives to ageproR and ardlverse
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 ardlverse.
epiworldR
epiworldR is a thin R shell whose releases track the C++ simulator underneath it
watina
A groundwater database client that has started doing the domain analysis too
inbospatial
A thin R wrapper over Flemish geospatial services, adding one standard at a time
Fluent Bit
Fluent Bit keeps two lines alive while the 5.x branch quietly opens 5.1.
OpenCTI
OpenCTI is rebuilding its connector layer into a marketplace and wiring the platform to XTM Hub
See all ageproR alternatives → · See all ardlverse alternatives →
Recent activity from ageproR and ardlverse
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoardlverseSeven panel_ardl fixes after an audit against Stata's xtpmg
- 2mo agoageproRwrite_inp option flag detection fixed after 0.8.0 dependency changes
- 5mo agoardlverseZenodo metadata updated with ORCID
- 5mo agoardlverseardlverse v1.1.3
- 6mo agoageproRAGEPRO VERSION 4.25 becomes the default format, with 4.0 kept compatible
- 1y agoageproRFour recruitment models added, including autocorrelated lognormal error ⚡
- 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
Frequently asked questions
What is the difference between ageproR and ardlverse?
Both compete on the same themes — r-package — within Analytics. ageproR and ardlverse 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 ardlverse?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ageproR and ardlverse 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 ardlverse?
Top ardlverse alternatives in Analytics are ranked by recent ship velocity. Browse the "ardlverse alternatives" section above for the current picks, or visit /alternatives/ardlverse-r for the full list with editorial commentary on each.