mrbayes
mrbayes spent 2026 auditing its own Bayesian MR estimators for coding errors.
A side-by-side editorial comparison of dggridR and modeltime.resample — release velocity, themes, recent moves, and the top alternatives to consider.
A discrete global grid generator grew cell traversal and became a usable spatial index.
dggridR builds discrete global grids — icosahedral tessellations of the Earth into equal-area hexagonal or triangular cells — by wrapping the DGGRID C++ engine. The 4.1.0 release adds dgneighbors, dgchildren and dgparent for moving between adjacent cells and across resolutions, plus dgpoints_to_cells and dgbin_points for mapping and aggregating point data into cells. New aperture 7 and mixed-aperture ISEA43H grid types arrive alongside them.
modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.
modeltime.resample runs time series cross-validation over modeltime models, returning per-resample predictions and accuracy plots. Version 0.3.0 is the substantive release in view: tune 2.0.0 compatibility, deterministic seeding via withr, guaranteed .predictions output, and clearer failures when resample fits break. The three releases before it are dependency chores.
dggridR builds discrete global grids — icosahedral tessellations of the Earth into equal-area hexagonal or triangular cells — by wrapping the DGGRID C++ engine. The 4.1.0 release adds dgneighbors, dgchildren and dgparent for moving between adjacent cells and across resolutions, plus dgpoints_to_cells and dgbin_points for mapping and aggregating point data into cells. New aperture 7 and mixed-aperture ISEA43H grid types arrive alongside them.
The package changed hands in effect as well as in code: the 4.0.0 engine update to DGGRID v9.0b and the first real test suite were contributed by Sebastian Krantz, who also maintains the upstream engine fork, and 4.1.0's feature burst followed two weeks later. The direction of that burst is unmistakable — away from generating grids for plotting and toward using them as an indexing structure that point data gets binned into and navigated through.
Expect the cell hierarchy functions to extend to non-hexagonal apertures and multi-level traversal, closing the remaining gaps against established global indexing systems.
modeltime.resample runs time series cross-validation over modeltime models, returning per-resample predictions and accuracy plots. Version 0.3.0 is the substantive release in view: tune 2.0.0 compatibility, deterministic seeding via withr, guaranteed .predictions output, and clearer failures when resample fits break. The three releases before it are dependency chores.
Every entry here is compatibility work against something upstream — hardhat 1.0.0, workflows regression mode, then tune 2.0.0 twice. The 0.3.0 notes show a second concern emerging alongside it: making failures legible, with .notes on failed fits, actionable errors from unnest_modeltime_resamples(), and fallback logic when prediction columns go missing across versions. Reproducibility gets the same treatment through explicit seeding.
Expect the next release to track the next tidymodels breaking change, with any new work continuing on error reporting rather than resampling strategies.
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 dggridR or modeltime.resample.
mrbayes spent 2026 auditing its own Bayesian MR estimators for coding errors.
lineup2 ships once every few years, and 2026's release is a logo and a core-count tweak.
stringi has spent two years on build hardening since its Unicode 15.1 reset.
A 2017 chemometrics method frozen in place, visited only when CRAN changes its documentation rules.
A fast dplyr stand-in that keeps finding new places to skip work entirely.
Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.
See all dggridR alternatives → · See all modeltime.resample alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. dggridR and modeltime.resample 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. dggridR and modeltime.resample 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 dggridR alternatives in Analytics are ranked by recent ship velocity. Browse the "dggridR alternatives" section above for the current picks, or visit /alternatives/dggridr for the full list with editorial commentary on each.
Top modeltime.resample alternatives in Analytics are ranked by recent ship velocity. Browse the "modeltime.resample alternatives" section above for the current picks, or visit /alternatives/modeltime-resample for the full list with editorial commentary on each.