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gratia vs vinecopula

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

Shared themes:r-package

gratia vs vinecopula: at a glance

Featuregratiavinecopula
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesgam, mgcv, ggplot2, statistical-graphicsr-package, copulas, statistics, distribution-functions
Last editorial update2h ago54m ago
WebsiteVisit →Visit →

What is gratia?

The tidy front-end for GAMs, now stable enough that upstream ggplot2 sets its release calendar.

gratia wraps mgcv-fitted generalized additive models in tidy data frames and ggplot2 graphics — smooth_estimates(), fitted_values(), derivatives(), draw() and appraise() cover evaluation, prediction and diagnostics. The API reached its intended shape at 0.9.0, when every generated column was renamed to a dot-prefixed form, and 0.10.0 added conditional_values() for covariate-conditional prediction plots.

Read the full gratia trajectory →

What is vinecopula?

Vine copula CDFs arrive; everything else is compile hygiene and boundary fixes.

VineCopula is the long-standing R implementation of vine copula models, maintained alongside Thomas Nagler's kde1d, vinereg, and svines packages over a shared rvinecopulib core. The March 2025 pair is the only recent substance: RVineCDF() for the cumulative distribution of a fitted vine, followed same-day by a Frank-copula tau inversion fix. Everything else in the window is sanity checks, C-loop fixes, and export corrections.

Read the full vinecopula trajectory →

gratia vs vinecopula: editorial side-by-side

G
gratia
ANALYTICS
0.0

The tidy front-end for GAMs, now stable enough that upstream ggplot2 sets its release calendar.

◆ Current state

gratia wraps mgcv-fitted generalized additive models in tidy data frames and ggplot2 graphics — smooth_estimates(), fitted_values(), derivatives(), draw() and appraise() cover evaluation, prediction and diagnostics. The API reached its intended shape at 0.9.0, when every generated column was renamed to a dot-prefixed form, and 0.10.0 added conditional_values() for covariate-conditional prediction plots.

◆ Where it's heading

The package has moved through a long rewrite cycle and out the other side. Successive releases replaced evaluate_smooth() with smooth_estimates(), rebuilt draw() on top of it, then renamed the entire output vocabulary to avoid colliding with user variables. That work is finished; 0.11.1 is driven almost entirely by ggplot2 4.0.0 compatibility, with new mgcv family support for quantile residuals riding along. Development now tracks upstream breakage rather than internal redesign.

◆ Prediction

Expect the next releases to continue absorbing ggplot2 4.x and mgcv changes, with incremental family coverage in quantile_residuals() as the visible new work. The entries give no signal on which mgcv families come next.

V
vinecopula
ANALYTICS
0.0

Vine copula CDFs arrive; everything else is compile hygiene and boundary fixes.

◆ Current state

VineCopula is the long-standing R implementation of vine copula models, maintained alongside Thomas Nagler's kde1d, vinereg, and svines packages over a shared rvinecopulib core. The March 2025 pair is the only recent substance: RVineCDF() for the cumulative distribution of a fitted vine, followed same-day by a Frank-copula tau inversion fix. Everything else in the window is sanity checks, C-loop fixes, and export corrections.

◆ Where it's heading

Development has narrowed to filling gaps in the evaluation surface - EmpCDF() in 2.5.0, RVineCDF() in 2.6.0 - while the estimation machinery stays put. Releases arrive in same-day pairs, feature tag then bug-fix tag, so the version count overstates the cadence. A stray v0.2.6 tag with an empty body sits between them and belongs to the shared engine rather than this package's own 2.x numbering.

◆ Prediction

The pattern points to another evaluation-side function rather than new copula families or estimation methods; the run of boundary and NA-handling fixes suggests continued edge-case cleanup in the existing families.

Alternatives to gratia and vinecopula

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 gratia or vinecopula.

See all gratia alternatives → · See all vinecopula alternatives →

Recent activity from gratia and vinecopula

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

  1. 11mo agogratiaggplot2 4.0.0 compatibility, plus four more quantile-residual families
  2. 1y agovinecopulaFrank copula tau inversion accepts zero
  3. 1y agovinecopulaRVineCDF computes vine copula distribution functions
  4. 1y agovinecopulav0.2.6: prepare release (#98)
  5. 1y agogratiaconditional_values() replaces vis.gam for conditional prediction plots
  6. 2y agogratiaparametric_effects() joins the dot-prefix rename; LSS families begin
  7. 2y agogratiaEvery generated column gains a dot prefix
  8. 3y agovinecopulaEmpCDF adds a tail-corrected empirical CDF
  9. 3y agogratiaReal variable names in smooth_samples(), plus dplyr 1.1.0 fixes
  10. 3y agovinecopulaFamily checks, goodness-of-fit loop, and NA handling fixed
  11. 4y agovinecopuladim method exported; MLE adapted to tighter bounds
  12. 4y agogratiaM1 example output fixes and confint tibble returns

Frequently asked questions

What is the difference between gratia and vinecopula?

Both compete on the same themes — r-package — within Analytics. gratia and vinecopula 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 gratia better than vinecopula?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gratia and vinecopula 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 gratia?

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

What are the best alternatives to vinecopula?

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