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ggstats vs simStateSpace

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

Shared themes:r-package

ggstats vs simStateSpace: at a glance

FeatureggstatssimStateSpace
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, data-visualization, likert, regression-modelsstate-space-models, simulation, longitudinal-data, r-package
Last editorial update1h ago1h 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 simStateSpace?

State-space data simulation for R, filled in one function at a time

simStateSpace generates data from state-space models — discrete-time SSM and VAR, continuous-time linear SDE and Ornstein-Uhlenbeck — for use in simulation studies of longitudinal and intensive repeated-measures designs. Recent releases add moment and intercept helpers rather than new model families: SimMVN(), the LinSDE intercept functions, and consolidation of the four separate parameter-simulation functions into one. Release notes are terse, marked Patch, and typically name one or two functions.

Read the full simStateSpace trajectory →

ggstats vs simStateSpace: 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.

S
simStateSpace
ANALYTICS
0.0

State-space data simulation for R, filled in one function at a time

◆ Current state

simStateSpace generates data from state-space models — discrete-time SSM and VAR, continuous-time linear SDE and Ornstein-Uhlenbeck — for use in simulation studies of longitudinal and intensive repeated-measures designs. Recent releases add moment and intercept helpers rather than new model families: SimMVN(), the LinSDE intercept functions, and consolidation of the four separate parameter-simulation functions into one. Release notes are terse, marked Patch, and typically name one or two functions.

◆ Where it's heading

The package is being filled in methodically toward completeness across its four model families — whatever exists for the SSM side eventually appears for LinSDE and back again, as SSMInterceptEta/SSMInterceptY in 1.2.15 were followed by their LinSDE counterparts in 1.2.16. The other visible move was outward: bootstrap components were split into a separate bootStateSpace package, keeping this one to simulation alone. It sits in the same author's cluster of state-space and mediation packages, whose published methods papers the releases cite.

◆ Prediction

Expect the pattern to continue — small patch releases adding the missing counterpart function for a model family already served, with any larger capability likely spun out into its own package as bootstrapping was.

Alternatives to ggstats and simStateSpace

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 simStateSpace.

See all ggstats alternatives → · See all simStateSpace alternatives →

Recent activity from ggstats and simStateSpace

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

  1. 4mo agosimStateSpaceLinSDE intercept helpers added; parameter simulators consolidated
  2. 5mo agoggstatsgglikert_side() and total columns for Likert plots
  3. 6mo agosimStateSpaceSSM intercept functions added
  4. 7mo agoggstatsLikert functions accept survey objects
  5. 10mo agosimStateSpacesimStateSpace 1.2.12
  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 agosimStateSpaceLinSDECov() and LinSDEMean() added
  10. 1y agosimStateSpaceBootstrap components split into bootStateSpace
  11. 1y agosimStateSpaceParametric bootstrap functions across all four model families
  12. 1y agoggstatsDiverging and Likert geoms redesigned; connector geoms added

Frequently asked questions

What is the difference between ggstats and simStateSpace?

Both compete on the same themes — r-package — within Analytics. ggstats and simStateSpace 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 simStateSpace?

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

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