This is a method of the link{rlgtfit} class to produce posterior intervals
## S3 method for class 'rlgtfit'posterior_interval(object, prob =0.9, type ="central",...)
Arguments
object: an object of class rlgtfit
prob: percentile level to be generated (multiple values can be accepted as a vector)
type: currently only central is available
...: currently not in use
Returns
confidence interval
Examples
# The following is a toy example that runs within a few seconds. To get good # fitting results the number of iterations should be set to at least 2000, and # 4 chains should be used (the default). To speed up computation the number of # cores should also be adjusted (default is 4).rlgt_model <- rlgt(lynx, control=rlgt.control(MAX_NUM_OF_REPEATS=1, NUM_OF_ITER=50, NUM_OF_CHAINS =1, NUM_OF_CORES =1), verbose=TRUE)# print the model detailsposterior_interval(rlgt_model)