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effectplots vs vinereg

A side-by-side editorial comparison of effectplots and vinereg — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

effectplots vs vinereg: at a glance

Featureeffectplotsvinereg
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, model-interpretability, ale, partial-dependencer-package, copulas, regression, conditional-density
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is effectplots?

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.

Read the full effectplots trajectory →

What is vinereg?

Conditional density and log-likelihood fill out a vine copula regression package.

vinereg fits D-vine copula-based regression models on top of rvinecopulib and kde1d, in Thomas Nagler's package stack. The January 2025 pair - 0.10.0 and 0.11.0 tagged the same day - adds a pdf() function and then fixes conditional density computation for discrete variables while requiring the newer kde1d. Release notes run to one or two bullets each.

Read the full vinereg trajectory →

effectplots vs vinereg: editorial side-by-side

E
effectplots
ANALYTICS
0.0

A young ALE and PDP plotting package that rebuilt its numeric core after a data-corrupting bug.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

V
vinereg
ANALYTICS
0.0

Conditional density and log-likelihood fill out a vine copula regression package.

◆ Current state

vinereg fits D-vine copula-based regression models on top of rvinecopulib and kde1d, in Thomas Nagler's package stack. The January 2025 pair - 0.10.0 and 0.11.0 tagged the same day - adds a pdf() function and then fixes conditional density computation for discrete variables while requiring the newer kde1d. Release notes run to one or two bullets each.

◆ Where it's heading

Work has concentrated on evaluation rather than fitting: cll() in 0.9.0, pdf() in 0.10.0, and the discrete-variable correction in 0.11.0 all concern what can be computed from a model already fitted. Releases arrive in same-day pairs, and the notes are terse enough that 0.10.0 reuses 0.9.0's wording verbatim, describing pdf() with cll()'s sentence. Version floors also track the sibling packages - kde1d here, rvinecopulib in 0.8.3.

◆ Prediction

Given the shared release rhythm across the stack, the next entry is as likely to be a dependency-driven bump as a new function; the discrete-variable path is the one area these notes show as recently unstable.

Alternatives to effectplots and vinereg

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 effectplots or vinereg.

See all effectplots alternatives → · See all vinereg alternatives →

Recent activity from effectplots and vinereg

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1y agoeffectplotsRare categories collapse into an 'other' level
  2. 1y agoeffectplotsMissing x values now plotted for numeric features
  3. 1y agovineregDiscrete conditional densities fixed; kde1d 1.1.0 required
  4. 1y agovineregpdf() added for conditional density
  5. 1y agoeffectplotsNumeric core rewritten after an in-place data corruption fix
  6. 1y agoeffectplotsInitial CRAN release
  7. 2y agovineregBoost compile flag and a weights error fixed
  8. 2y agovineregcll() computes conditional log-likelihood
  9. 4y agovineregvinecopulib floor raised for RcppThread compatibility
  10. 4y agovineregcpit() fixed and external marginals allowed via uscale

Frequently asked questions

What is the difference between effectplots and vinereg?

Both compete on the same themes — r-package — within Analytics. effectplots and vinereg 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.

Is effectplots better than vinereg?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. effectplots and vinereg 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.

What are the best alternatives to effectplots?

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.

What are the best alternatives to vinereg?

Top vinereg alternatives in Analytics are ranked by recent ship velocity. Browse the "vinereg alternatives" section above for the current picks, or visit /alternatives/vinereg for the full list with editorial commentary on each.