HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
A side-by-side editorial comparison of ipaddress and offsetreg — release velocity, themes, recent moves, and the top alternatives to consider.
IP address vectors for R that hit 1.0 and then went quiet.
ipaddress gives R first-class IPv4 and IPv6 vector types with the arithmetic, netmask and subnet operations that come with them, backed by C++. The 1.0.0 release in 2023 was the deliberate breaking cleanup: one result per input from the hostname functions, vectorised subnets(), several arguments forced to be named, and a country_networks() downloader added. Since then the only release has been a testthat deprecation fix.
The parsnip extension for exposure models grew from one algorithm to three
offsetreg supplies parsnip model specifications for regressions with offsets, the form actuarial and epidemiological work needs when modelling rates over exposure. It launched with a single specification, poisson_reg_offset(), backed by glm and glmnet engines. Version 1.1.0 added two more model types - boost_tree_offset() for boosted trees via xgboost and decision_tree_exposure() for weighted decision trees via rpart - and 1.2.0 has been consolidation: argument passthrough to the underlying glm and glmnet calls, an xgboost 3.0 minimum with API accommodation, and cli-formatted messages.
ipaddress gives R first-class IPv4 and IPv6 vector types with the arithmetic, netmask and subnet operations that come with them, backed by C++. The 1.0.0 release in 2023 was the deliberate breaking cleanup: one result per input from the hostname functions, vectorised subnets(), several arguments forced to be named, and a country_networks() downloader added. Since then the only release has been a testthat deprecation fix.
The package reached the interface it wanted and stopped. The five releases before 1.0.0 were almost entirely CRAN check compliance — deprecated C++ calls, HTML5 notes, a Windows toolchain change — with functional work confined to a couple of releases that shed heavy dependencies. That pattern, long compliance runs punctuated by rare interface work, is what the feed shows now.
On this cadence the next release is most likely another CRAN or upstream-testing compliance patch; nothing in the entries indicates new functionality in progress.
offsetreg supplies parsnip model specifications for regressions with offsets, the form actuarial and epidemiological work needs when modelling rates over exposure. It launched with a single specification, poisson_reg_offset(), backed by glm and glmnet engines. Version 1.1.0 added two more model types - boost_tree_offset() for boosted trees via xgboost and decision_tree_exposure() for weighted decision trees via rpart - and 1.2.0 has been consolidation: argument passthrough to the underlying glm and glmnet calls, an xgboost 3.0 minimum with API accommodation, and cli-formatted messages.
The package is following the tidymodels extension playbook: establish one model type, then add types rather than engines, and keep pace with parsnip's own releases. Each version has also tightened the guardrails around correct use - a vignette on when offsetreg should and should not be used, check_args() methods on the specifications - which suggests the maintainer is fielding misapplication rather than feature requests.
Expect additional engines under the existing model types, or a fourth specification, before any change to the offset handling itself, since the package's structure invites extension at the engine layer.
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 ipaddress or offsetreg.
France's national flood statistics, ported out of Fortran and into R.
Sign, zero and narrative restrictions brought into the bsvars ecosystem.
Fast design-based estimators for experiments, coasting on CRAN patches.
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
A column-key toolkit for stitching decades of ecological field data into one table.
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
See all ipaddress alternatives → · See all offsetreg alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. ipaddress and offsetreg 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ipaddress and offsetreg 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.
Top ipaddress alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ipaddress alternatives" section above for the current picks, or visit /alternatives/ipaddress for the full list with editorial commentary on each.
Top offsetreg alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "offsetreg alternatives" section above for the current picks, or visit /alternatives/offsetreg for the full list with editorial commentary on each.