plot_gaussian: plot_gaussian for stanglogitFit objects

In michelescandola/stanglogitMer: Bayesian Hierarchical Generalized-Logit Model to study behavioural peripersonal space as a continuum

Description

plot_gaussian() plots the resulting generalised logit curves from the posterior distributions of the model, as gaussian curves, with mean the Shift parameter, and standard deviation the inverse of the Growth parameter. For each combination of population-level factors for the Growth and Shift parameters, 9 curves will be plotted. One curve will come from the median value of the posterior distributions of the Growth and Shift parameters, the other eight parameters will be obtained by the combination of the boundaries of the Credible Interval for the Growth and Shift parameters. The dimension of the Credible Interval can be set by means of the CI parameter.

Usage

plot_gaussian(object, CI = 0.95)

Arguments

object	a stanglogitFit object
CI	the dimension of the credible interval taken into account. Default 0.95.

Value

a ggplot2 object or a base-R plot

See Also

plot_sigmoid

michelescandola/stanglogitMer documentation built on Nov. 4, 2019, 6:52 p.m.