← Back to home
Comparison · Analytics

ggstats vs probmed

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

ggstats vs probmed: at a glance

Featureggstatsprobmed
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, data-visualization, likert, regression-modelscausal mediation, effect size, semiparametric inference, cross-fitting
Last editorial update1h ago5h ago
WebsiteVisit →Visit →

What is ggstats?

ggstats keeps widening what a coefficient or Likert plot can be

ggstats extends ggplot2 with statistical plotting: model coefficient plots, Likert and diverging bar charts, proportion geometries and the helpers that make them behave. Recent releases have added an experimental gglikert_side(), left and right total columns for gglikert(), and survey-object support across the Likert family. Development is steady and CRAN-paced, with releases every two to three months.

Read the full ggstats trajectory →

What is probmed?

probmed went from one probabilistic effect size to a family of them in sixteen days.

probmed computes P_med, a scale-free probabilistic effect size for causal mediation, as part of the Data-Wise mediationverse alongside medfit, medsim and RMediation. Three releases in three weeks took it from a single estimator to four additional families built on a shared cross-fitted corner-EIF core, covering gauge-calibrated, incremental-elasticity and Sobol variance-share versions of the proportion mediated. Distribution is GitHub and r-universe rather than CRAN, with a load-bearing Remotes pin on medfit.

Read the full probmed trajectory →

ggstats vs probmed: editorial side-by-side

G
ggstats
ANALYTICS
0.0

ggstats keeps widening what a coefficient or Likert plot can be

◆ Current state

ggstats extends ggplot2 with statistical plotting: model coefficient plots, Likert and diverging bar charts, proportion geometries and the helpers that make them behave. Recent releases have added an experimental gglikert_side(), left and right total columns for gglikert(), and survey-object support across the Likert family. Development is steady and CRAN-paced, with releases every two to three months.

◆ Where it's heading

Two long-running threads. The coefficient side has been consolidating — ggcoef_multinom() and ggcoef_multicomponents() soft-deprecated in favour of a unified ggcoef_model() with group_by, plus new ggcoef_dodged() and ggcoef_faceted() variants. The Likert side keeps expanding outward instead, absorbing survey objects, total columns and side-by-side layouts. Underneath both is a steady tax of ggplot2 and vctrs compatibility work, including tracking the geom_errorbarh() deprecation in ggplot2 4.0.0.

◆ Prediction

Expect gglikert_side() to lose its experimental status once its interface settles, and the deprecated multinomial entry points to be removed in a future release now that ggcoef_model() covers their cases.

P
probmed
ANALYTICS
0.0

probmed went from one probabilistic effect size to a family of them in sixteen days.

◆ Current state

probmed computes P_med, a scale-free probabilistic effect size for causal mediation, as part of the Data-Wise mediationverse alongside medfit, medsim and RMediation. Three releases in three weeks took it from a single estimator to four additional families built on a shared cross-fitted corner-EIF core, covering gauge-calibrated, incremental-elasticity and Sobol variance-share versions of the proportion mediated. Distribution is GitHub and r-universe rather than CRAN, with a load-bearing Remotes pin on medfit.

◆ Where it's heading

The pace is manuscript-driven — estimators arrive with their citations attached and vignettes alongside, and the 0.1.0 notes correct the estimand itself against a manuscript definition rather than fixing a bug in code. Each release adds inference machinery as well as point estimates: percentile-bootstrap intervals and Fieller sets in 0.3.0, a deterministic MBCO interval in 0.2.0 that avoids resampling entirely. The gauge residual and the pmed_sensitivity() helper suggest a growing concern with when the estimand does not decompose at all.

◆ Prediction

0.3.0 shipped a sensitivity helper for shared mediator-outcome confounding and a diagnostic that flags non-decomposability, so the next release most likely extends that diagnostic side rather than adding a fifth estimator family.

Alternatives to ggstats and probmed

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 ggstats or probmed.

See all ggstats alternatives → · See all probmed alternatives →

Recent activity from ggstats and probmed

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

  1. 1mo agoprobmedFour estimator families on a cross-fitted corner-EIF core
  2. 2mo agoprobmedParallel mediators and a resampling-free MBCO interval
  3. 2mo agoprobmedFirst release: pmed() with the estimand corrected
  4. 5mo agoggstatsgglikert_side() and total columns for Likert plots
  5. 7mo agoggstatsLikert functions accept survey objects
  6. 11mo agoggstatsTable output for ggcoef_compare(); x-axis limits harmonised
  7. 1y agoggstatsggstats 0.10.0
  8. 1y agoggstatsCoefficient plots unified around ggcoef_model() with grouping
  9. 1y agoggstatsDiverging and Likert geoms redesigned; connector geoms added

Frequently asked questions

What is the difference between ggstats and probmed?

They serve adjacent needs but don't currently overlap on shipped themes. ggstats and probmed 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 ggstats better than probmed?

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

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

What are the best alternatives to probmed?

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