n2kanalysis
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
A side-by-side editorial comparison of CatastRo and RadialMR — release velocity, themes, recent moves, and the top alternatives to consider.
Spain's cadastre client spent 1.0.0 breaking its own cache to become a tidy, httr2-native package.
CatastRo pulls parcels, buildings, addresses and WMS map layers from the Spanish Cadastre into R. The 1.0.0 line rebuilt the codebase on httr2, reorganized the cache into topic-based subfolders and moved persistent storage from rappdirs to tools::R_user_dir(), a change that invalidates every pre-1.0.0 cache. The two releases since are documentation and an AI-assisted internal refactor.
RadialMR's 2026 release corrects degrees of freedom that had been wrong since documentation.
RadialMR implements radial-plot formulations of IVW and MR-Egger Mendelian randomization, with outlier detection and interactive plotting. The recent history is thin on features and increasingly focused on the arithmetic: 1.2.4 in July 2026 fixes the degrees of freedom returned by egger_radial() to the documented n-2, corrects the heterogeneity p-value that inherited the same error, and repairs a negated lower bound in the random-effects bootstrap standard error search interval in ivw_radial().
CatastRo pulls parcels, buildings, addresses and WMS map layers from the Spanish Cadastre into R. The 1.0.0 line rebuilt the codebase on httr2, reorganized the cache into topic-based subfolders and moved persistent storage from rappdirs to tools::R_user_dir(), a change that invalidates every pre-1.0.0 cache. The two releases since are documentation and an AI-assisted internal refactor.
The arc is consolidation, not expansion: the retrieval surface has been stable since 0.3.0 added street names to addresses, while the maintainer has spent the releases since standardizing transport, output types and messaging. All functions now return tibbles or sf objects with tibble data, and cli handles user-facing output. The same modernization is being applied across the maintainer's other Spanish-data packages.
Expect the next releases to stay in the 1.0.x patch range — documentation, cli wording and CRAN upkeep — unless the Cadastre publishes a new service worth wrapping.
RadialMR implements radial-plot formulations of IVW and MR-Egger Mendelian randomization, with outlier detection and interactive plotting. The recent history is thin on features and increasingly focused on the arithmetic: 1.2.4 in July 2026 fixes the degrees of freedom returned by egger_radial() to the documented n-2, corrects the heterogeneity p-value that inherited the same error, and repairs a negated lower bound in the random-effects bootstrap standard error search interval in ivw_radial().
This is a package being read closely by its maintainer rather than extended. The 1.2.x line pairs statistical corrections with defensive hardening — an rmr_format class check so unformatted input fails with a clear message, and plotly_radial() dispatching on object class instead of counting list elements. Both are the kind of change made while auditing, not while building.
Expect the audit to continue into the remaining estimator internals and print methods rather than new radial variants; the entries show no feature work queued.
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 CatastRo or RadialMR.
n2kanalysis has spent eight years wiring INLA models to an S3 bucket.
A Fortran-descended optimizer got thread-safe, then found two flags that never worked.
ggstatsplot reached 1.0 by adding tests, having outsourced its statistics years ago.
collapse got a JSS paper and a 7x fmean speedup in the same release.
gtsummary is quietly rebuilding itself around analysis results data, one table verb at a time.
broadcast is filling in NumPy-style array broadcasting for R, operator by operator.
See all CatastRo alternatives → · See all RadialMR alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. CatastRo and RadialMR 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. CatastRo and RadialMR 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.
Top CatastRo alternatives in Analytics are ranked by recent ship velocity. Browse the "CatastRo alternatives" section above for the current picks, or visit /alternatives/catastro for the full list with editorial commentary on each.
Top RadialMR alternatives in Analytics are ranked by recent ship velocity. Browse the "RadialMR alternatives" section above for the current picks, or visit /alternatives/radialmr for the full list with editorial commentary on each.