posterior_interval.rlgtfit {Rlgt} | R Documentation |
rlgtfit posterior interval
Description
This is a method of the link{rlgtfit}
class to produce posterior intervals
Usage
## 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 |
Value
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 details
posterior_interval(rlgt_model)
[Package Rlgt version 0.2-1 Index]