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Paketti: r-cran-bayestestr (0.5.2-1)

GNU R understand and describe Bayesian models and posterior distributions

Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors).

Muut pakettiin r-cran-bayestestr liittyvät paketit

  • depends
  • recommends
  • suggests
  • dep: r-api-3.5
    näennäispaketti, jonka toteuttaa r-base-core
  • dep: r-base-core (>= 3.6.2-2build1)
    GNU R core of statistical computation and graphics system
  • dep: r-cran-insight (>= 0.8.0)
    GNU R easy access to model information for various model objects
  • rec: r-cran-bayesfactor
    GNU R Bayes factors for t-tests, ANOVAs and contingency tables
  • rec: r-cran-brms
    GNU R Bayesian regression models using 'Stan'
  • rec: r-cran-emmeans
    GNU R estimated marginal means, aka least-squares means
  • rec: r-cran-httr
    GNU R tools for working with URLs and HTTP
  • rec: r-cran-kernsmooth
    GNU R package for kernel smoothing and density estimation
  • rec: r-cran-lme4
    GNU R package for linear mixed effects model fitting
  • rec: r-cran-logspline
    GNU R package providing routines for the logspline density estimation
  • rec: r-cran-mclust
    Gaussian Mixture Modelling for Model-Based Clustering
  • rec: r-cran-rstanarm
    GNU R bayesian applied regression modeling via stan
  • rec: r-cran-testthat
    GNU R testsuite

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