Description Usage Arguments Value
View source: R/predictiveStats.R
Evaluates the predictive posterior probability of T > T_obs for various statistics.
1 2 | predictiveStats(model, fname = NULL, whichSamples,
additionalArgs = list(win = owin(), R = 0.005, R_c = 0.02), ...)
|
model |
An fitmat3 object (resulting from a call to fitmat3) |
fname |
If the MCMC samples were saved into text files, this can be used to generate predictive probabilities from them. Defaults to NULL. |
whichSamples |
Which (and how many) samples to collect in order to generate the predictive probabilities. Must be smaller than the number of MCMC samples. |
additionalArgs |
additional arguments to be passed to rmat3() (if read from text files, it is necessary to provide a list with window, R and R_c). |
predictiveStats
returns a list containing at least the following components
pL |
predictive probability for the expected number of centers |
pRc |
predictive probability for the number of fingers within R_centers distance of other centers |
pnx |
predictive probability for the average number of fingers |
psx |
predictive probability for the standard deviation of the number of fingers |
chx |
predictive probability for the mean area of the convex hull of fingers (reactive territory) |
spx |
predictive probability for the spanned angle of fingers |
mdx |
predictive probability for the average of minimum distance between fingers |
adx |
predictive probability for the average of average distance between fingers |
cex |
predictive probability for the average distance between centers |
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