fbst-class {fbst}R Documentation

Class "fbst-class"

Description

Class for modelling the results of a Full Bayesian Significance Test

Objects from the Class

Store the results of a FBST

Slots

data:

Object of class "list" holding the results of the Full Bayesian Significance Test. posteriorDensityDraws holds the posterior MCMC parameter draws, postEffSizeSorted stores the sorted posterior MCMC parameter draws, densZero stores the surprise function value at the sharp null hypothesis parameter value, postDensValues stores the posterior density values, indices stores the indices for deciding which values are located inside the tangential set, nullHypothesisValue stores the sharp null hypothesis parameter value, referenceFunction holds the name of the reference function used, dimensionTheta holds the dimension of the parameter space, dimensionNullset holds the dimension of the null set corresponding to the null hypothesis, eValue holds the Bayesian evidence against the sharp null hypothesis, the e-value, pValue holds the p-value associated with the Bayesian e-value in favour of the sharp null hypothesis, sev_H_0 holds the standardized e-value as a replacement of the frequentist p-value.


[Package fbst version 2.2 Index]