simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
A side-by-side editorial comparison of aqp and effectplots — release velocity, themes, recent moves, and the top alternatives to consider.
The 1.x line, tagged retroactively after a decade of SoilProfileCollection redesign.
aqp provides the SoilProfileCollection class and the algorithms built on it for soil profile data, colour, and taxonomy. The most recent tag in this feed is explicitly retroactive: 1.42 was cut in 2025 to mark the last CRAN state before the 2.0 release. Between 2018 and 2021 the class internals were reworked twice, the Munsell colour tooling grew substantially, and data.table replaced reshape underneath the wide-to-long transformations.
A young ALE and PDP plotting package that rebuilt its numeric core after a data-corrupting bug.
effectplots computes and plots partial dependence, ALE, and observed-versus-predicted effect curves for fitted models. It reached CRAN in November 2024 and shipped three releases in the four months after. The 0.2.0 release is the pivot: an outlier-clipping routine that silently modified the caller's data frame was fixed, the numeric path was rewritten for speed and memory, and the plotting and category-collapsing defaults were reset.
aqp provides the SoilProfileCollection class and the algorithms built on it for soil profile data, colour, and taxonomy. The most recent tag in this feed is explicitly retroactive: 1.42 was cut in 2025 to mark the last CRAN state before the 2.0 release. Between 2018 and 2021 the class internals were reworked twice, the Munsell colour tooling grew substantially, and data.table replaced reshape underneath the wide-to-long transformations.
Two threads run through the window. The core object was progressively rebuilt - a new horizon-ID slot in 1.17, then a wave of renames and argument removals in 1.25 that broke code deliberately ahead of 2.0. Alongside it, colour work compounded: mixMunsell, spectral mixing, colour quantiles, a chip-frequency chart, and PMS conversion. Tag order here is not release order, since 1.42 was applied to an older commit.
This feed reads as a closed chapter - further entries on it would be backfill, with active work having moved to the 2.x series.
effectplots computes and plots partial dependence, ALE, and observed-versus-predicted effect curves for fitted models. It reached CRAN in November 2024 and shipped three releases in the four months after. The 0.2.0 release is the pivot: an outlier-clipping routine that silently modified the caller's data frame was fixed, the numeric path was rewritten for speed and memory, and the plotting and category-collapsing defaults were reset.
After 0.2.0 the work turns to the awkward cases - missing values on the x axis, explicit and empty factor levels, discrete grid detection. The package is also widening past a single modelling ecosystem: h2o support and tidymodels examples arrived with 0.2.0, and fcut() was exported as a fast replacement for cut(). Release notes are issue-numbered throughout, so the roadmap is effectively the issue tracker.
Expect continued default tuning around collapse_m and discrete_m plus more model-backend coverage; the cadence points to another batch of issue fixes rather than a new plot type.
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 aqp or effectplots.
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
A raster-to-terra migration is the only readable change in a feed of merge notes.
A nycflights13 generator whose recent work is all about the data being right.
Conditional density and log-likelihood fill out a vine copula regression package.
A drop-in string API for base R, kept alive by upstream check failures.
See all aqp alternatives → · See all effectplots alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. aqp and effectplots 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. aqp and effectplots 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 aqp alternatives in Analytics are ranked by recent ship velocity. Browse the "aqp alternatives" section above for the current picks, or visit /alternatives/aqp for the full list with editorial commentary on each.
Top effectplots alternatives in Analytics are ranked by recent ship velocity. Browse the "effectplots alternatives" section above for the current picks, or visit /alternatives/effectplots for the full list with editorial commentary on each.