Plots prior and posterior distributions of model parameters in a ctStanModel or ctStanFit object.
ctStanPlotPost(
obj,
rows = "all",
npp = 6,
priorwidth = TRUE,
smoothness = 1,
priorsamples = 10000,
plot = TRUE,
wait = FALSE,
...
)fit or model object as generated by ctStanFit,
ctModel, or ctStanModel.
vector of integers denoting which rows of obj$setup$popsetup to plot priors for. Character string 'all' plots all rows with parameters to be estimated.
Integer number of parameters to show per page.
if TRUE, plots will be scaled to show bulk of both the prior and posterior distributions. If FALSE, scale is based only on the posterior.
Positive numeric -- multiplier to modify smoothness of density plots, higher is smoother but can cause plots to exceed natural boundaries, such as standard deviations below zero.
number of samples from prior to use. More is slower.
Logical, if FALSE, ggplot objects are returned in a list instead of plotting.
If true, user is prompted to continue before plotting next graph. If false, graphs are plotted one after another without waiting.
Parameters to pass to ctStanFit. cores = x will speed things up,
where x is the number of cpu cores to use.
# NOT RUN {
ctStanPlotPost(ctstantestfit, rows=3:4)
# }
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