rjdqa
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
A side-by-side editorial comparison of kernelshap and textplot — release velocity, themes, recent moves, and the top alternatives to consider.
kernelshap makes permutation SHAP practical past eight features, then fixes the kernel weights it had wrong.
kernelshap computes model-agnostic SHAP values in R through Kernel SHAP, permutation SHAP and an exact additive explainer. Version 0.8.0 added a sampling permutation-SHAP algorithm with standard errors and early stopping, lifting the practical feature ceiling past what the exact method allows. Version 0.9.0 then corrected a bug in how kernel weights were computed — exact Kernel SHAP now agrees with exact permutation SHAP — and moved parallelism from foreach to doFuture.
A bnosac plotting utility in maintenance mode, shipping once every few years
textplot is the visualisation member of the bnosac NLP family, providing plot methods for dependency parses, biterm topic clusters, co-occurrence graphs, correlation lines and word embeddings. The function surface has been stable since 0.2.0 added textplot_embedding_2d in 2021. The 2026 release touches only documentation links and a vignette guard.
kernelshap computes model-agnostic SHAP values in R through Kernel SHAP, permutation SHAP and an exact additive explainer. Version 0.8.0 added a sampling permutation-SHAP algorithm with standard errors and early stopping, lifting the practical feature ceiling past what the exact method allows. Version 0.9.0 then corrected a bug in how kernel weights were computed — exact Kernel SHAP now agrees with exact permutation SHAP — and moved parallelism from foreach to doFuture.
Two concerns drive this package: making exact methods reach further, and being demonstrably right. The first shows in the additive explainer, the optional background dataset and the sampling permutation algorithm; the second in unit tests written against Python's shap, credited fixes from outside contributors, and a willingness to ship a correctness fix that changes numbers people have already published. Speed work runs continuously underneath — direct solves replacing the Moore-Penrose pseudo-inverse, roughly 10% less memory.
The 0.6.0 and 0.7.0 notes each promised a stable 1.0.0 that has not arrived; with the weighting bug fixed and parallelism reworked, a 1.0 release is the most plausible next step.
textplot is the visualisation member of the bnosac NLP family, providing plot methods for dependency parses, biterm topic clusters, co-occurrence graphs, correlation lines and word embeddings. The function surface has been stable since 0.2.0 added textplot_embedding_2d in 2021. The 2026 release touches only documentation links and a vignette guard.
This is a settled package, not a developing one. Releases since 0.2.0 have been reactive: a topic-assignment bug, a layout argument, and now cleanup after the archival of a dependency it linked to. The cadence — four years between 0.2.2 and 0.2.3 — tracks CRAN housekeeping on the wider bnosac stack rather than any roadmap of its own.
Expect the same pattern: the next release will most likely be another CRAN-compliance pass triggered by a change in udpipe, BTM or another sibling package, rather than a new textplot_* function.
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 kernelshap or textplot.
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
epikit narrows to field-epidemiology helpers, handing proportions to a sibling package
SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series
A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release
A statistician's personal toolbox, growing one plotting utility at a time
R/qtl is in pure custodial mode: every recent release answers a compiler, not a user
See all kernelshap alternatives → · See all textplot alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. kernelshap and textplot 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. kernelshap and textplot 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 kernelshap alternatives in Analytics are ranked by recent ship velocity. Browse the "kernelshap alternatives" section above for the current picks, or visit /alternatives/kernelshap for the full list with editorial commentary on each.
Top textplot alternatives in Analytics are ranked by recent ship velocity. Browse the "textplot alternatives" section above for the current picks, or visit /alternatives/textplot for the full list with editorial commentary on each.