STACAS
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
A side-by-side editorial comparison of questionr and svines — release velocity, themes, recent moves, and the top alternatives to consider.
questionr's survey helpers are finished; recent releases only keep pace with R-devel.
A long-running toolkit for survey data in R — proportion tables, weighted counts, and the interactive irec(), iorder() and icut() addins for recoding. The last functional release was 0.8.0 in March 2025: a new freqtable() function, prop(), cprop() and rprop() extended to tables of three or more dimensions, and the addins moved onto the native pipe and forcats' current API. Both releases since exist purely to fix tests broken by R-devel changes to table internals.
Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.
svines fits stationary vine copula models to multivariate time series, extending the rvinecopulib engine with the serial dependence structure that makes vines usable for temporal data. The visible history is three releases carrying one real addition — pseudo-residual computation and logLik support at 0.2.2 — with the rest tracking its C++ dependency.
A long-running toolkit for survey data in R — proportion tables, weighted counts, and the interactive irec(), iorder() and icut() addins for recoding. The last functional release was 0.8.0 in March 2025: a new freqtable() function, prop(), cprop() and rprop() extended to tables of three or more dimensions, and the addins moved onto the native pipe and forcats' current API. Both releases since exist purely to fix tests broken by R-devel changes to table internals.
This is a stable package in compatibility-maintenance mode, where the release trigger is upstream churn rather than user demand. The functional work that does appear follows a consistent line — generalising the table functions beyond two dimensions, and keeping the interactive recoding addins aligned with current tidyverse idioms rather than the deprecated ones they were written against. The same maintainer's rainette shipped its own upstream-compatibility fix in the same window.
Expect the next release to be another R-devel or tidyverse compatibility fix; nothing in the entries points to new functionality.
svines fits stationary vine copula models to multivariate time series, extending the rvinecopulib engine with the serial dependence structure that makes vines usable for temporal data. The visible history is three releases carrying one real addition — pseudo-residual computation and logLik support at 0.2.2 — with the rest tracking its C++ dependency.
This package moves when rvinecopulib moves. The 0.2.4 release exists solely to adapt to a new rvinecopulib version, and 0.2.7 carries auto-generated GitHub release notes with no description at all. It shipped on the same day as kde1d 1.1.1, another package from the same maintainer, which is the pattern to watch: changes in the shared C++ layer surface as near-simultaneous releases across the vine family rather than as independent work.
The next release most plausibly follows another rvinecopulib update rather than adding modelling capability. Two of the three visible entries carry no substantive notes, so this feed will keep underreporting what changed.
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 questionr or svines.
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
A debugger for ggplot2's internals, hardening its grip as the internals it traces keep moving.
A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.
A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.
A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.
A thin EIA energy-data client whose whole story is making bulk queries survive the API's limits.
See all questionr alternatives → · See all svines alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. questionr and svines 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. questionr and svines 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 questionr alternatives in Analytics are ranked by recent ship velocity. Browse the "questionr alternatives" section above for the current picks, or visit /alternatives/questionr for the full list with editorial commentary on each.
Top svines alternatives in Analytics are ranked by recent ship velocity. Browse the "svines alternatives" section above for the current picks, or visit /alternatives/svines for the full list with editorial commentary on each.