probOutlier | R Documentation |
Returns the probability that each observation is an outlier given the Bayesian quantile regression fits.
probOutlier(
object,
burnin = 50,
plotProb = TRUE,
scales.free = FALSE,
all.obs = TRUE,
obs
)
object |
This is an object of the class "bqr", produced by a call to the bayesQR function. |
burnin |
Initial part of the chain, which is to be discarded. Default value is 50. |
plotProb |
If TRUE, the function prints the plot with all probabilities. Default is set to TRUE. |
scales.free |
If FALSE, the default, then all plots will use the same y scale. If TRUE, for each tau the plot will use the best possible scale in order to visualize the probability information for all observations. |
all.obs |
if TRUE, calculates KL divergence for all observations |
obs |
if |
Prints a plot of the posterior probability of being an outlier for all observations and returns a data.frame with all values of the probabilities.
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