Rpath
Rpath 1.1.0 learns to read Ecopath's own files, easing migration off the desktop tool.
A side-by-side editorial comparison of epikit and spatstat — release velocity, themes, recent moves, and the top alternatives to consider.
epikit narrows to field-epidemiology helpers, handing proportions to a sibling package
epikit is a set of small helpers for applied epidemiology in R — age categorisation, date reconstruction from partial records, and related field-data chores, developed in the R4Epis orbit. Version 0.2.0 moved the proportion functions out to epitabulate, improved how find_date_cause(), find_start_date() and find_end_date() handle dates falling outside the period, and added a floor argument to age_categories() so the lowest band reads as under one rather than zero to zero.
The spatstat umbrella package, now mostly a pointer to the sub-packages doing the work
spatstat is the front package of a family that was split into specialised components — spatstat.geom, spatstat.random, spatstat.model, spatstat.explore, spatstat.univar and spatstat.sparse. Its own release notes reflect that: entries in this window are largely announcements of where the real changes landed, plus documentation and cross-reference maintenance. The codebase it fronts passed 200,000 lines as of 3.5-1.
epikit is a set of small helpers for applied epidemiology in R — age categorisation, date reconstruction from partial records, and related field-data chores, developed in the R4Epis orbit. Version 0.2.0 moved the proportion functions out to epitabulate, improved how find_date_cause(), find_start_date() and find_end_date() handle dates falling outside the period, and added a floor argument to age_categories() so the lowest band reads as under one rather than zero to zero.
The package is being scoped down rather than built out. The 0.1.3 restructuring and the 0.2.0 handover of proportions to epitabulate are the same move made twice: push functionality into the package where it belongs and keep epikit to the toolkit that field epidemiologists reach for directly. The rest of the history is dependency compatibility work against dplyr and tibble.
With proportions gone and dependencies trimmed, the remaining functions cluster tightly around dates and age bands, so further refinement of the date-reconstruction helpers is more likely than new capability areas.
spatstat is the front package of a family that was split into specialised components — spatstat.geom, spatstat.random, spatstat.model, spatstat.explore, spatstat.univar and spatstat.sparse. Its own release notes reflect that: entries in this window are largely announcements of where the real changes landed, plus documentation and cross-reference maintenance. The codebase it fronts passed 200,000 lines as of 3.5-1.
The split is effectively complete and the umbrella's role has settled into coordination — tracking version dependencies across sub-packages and pointing users to them. The family has kept subdividing over this period, with spatstat.univar joining in 3.1-0. The one substantive user-facing addition here is documentation infrastructure: 3.3-0 added the ability to list the history of changes to a specific function, which is a navigational answer to a codebase now spread across many packages.
Expect this package's notes to continue summarising sub-package activity rather than carrying features of its own, since every release in this window does exactly that. Read spatstat.geom, spatstat.random and spatstat.model for the substance.
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 epikit or spatstat.
Rpath 1.1.0 learns to read Ecopath's own files, easing migration off the desktop tool.
TAF keeps turning ICES stock assessments into reproducible, dependency-pinned projects.
parallelDist is in pure preservation mode — one build fix every few years.
Cairo finally catches R's graphics engine, all the way to GE API 16.
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series
See all epikit alternatives → · See all spatstat alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. epikit and spatstat 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. epikit and spatstat 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 epikit alternatives in Analytics are ranked by recent ship velocity. Browse the "epikit alternatives" section above for the current picks, or visit /alternatives/epikit-r for the full list with editorial commentary on each.
Top spatstat alternatives in Analytics are ranked by recent ship velocity. Browse the "spatstat alternatives" section above for the current picks, or visit /alternatives/spatstat-r for the full list with editorial commentary on each.