Compares model implied density and values to observed, for a ctStanFit object.
Compares model implied density and values to observed, for a ctStanFit object.
ctStanPostPredict( fit, diffsize = 1, jitter = 0.02, wait = TRUE, probs = c(0.025, 0.5, 0.975), datarows = "all", nsamples = 500, resolution = 100, plot = TRUE )
fit |
ctStanFit object. |
diffsize |
Integer > 0. Number of discrete time lags to use for data viz. |
jitter |
Positive numeric between 0 and 1, if TRUE, jitters empirical data by specified proportion of std dev. |
wait |
Logical, if TRUE and |
probs |
Vector of length 3 containing quantiles to plot – should be rising numeric values between 0 and 1. |
datarows |
integer vector specifying rows of data to plot. Otherwise 'all' uses all data. |
nsamples |
Number of datasets to generate for comparisons, if fit object does not contain generated data already. |
resolution |
Positive integer, the number of rows and columns to split plots into for shading. |
plot |
logical. If FALSE, a list of ggplot objects is returned. |
This function relies on the data generated during each iteration of fitting to approximate the model implied distributions – thus, when limited iterations are available, the approximation will be worse.
If plot=FALSE, an array containing quantiles of generated data. If plot=TRUE, nothing, only plots.
if plot=TRUE, nothing is returned and plots are created. Otherwise, a list containing ggplot objects is returned and may be customized as desired.
if(w32chk()){
ctStanPostPredict(ctstantestfit,wait=FALSE, diffsize=2,resolution=100)
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