summary.model {ggdmc} | R Documentation |
Summarise posterior samples
Description
This calls seven different variants of summary function to summarise posterior samples
Usage
## S3 method for class 'model'
summary(object, hyper = FALSE, start = 1, end = NA,
hmeans = FALSE, hci = FALSE, prob = c(0.025, 0.25, 0.5, 0.75,
0.975), recovery = FALSE, ps = NA, type = 1, verbose = FALSE,
digits = 2, ...)
Arguments
object |
posterior samples |
hyper |
whether to summarise hyper parameters |
start |
start from which iteration. |
end |
end at which iteration. For example, set
|
hmeans |
a boolean switch indicating to calculate mean of hyper parameters |
hci |
boolean switch; whether to calculate credible intervals of hyper parameters |
prob |
a numeric vector, indicating the quantiles to calculate |
recovery |
a boolean switch indicating if samples are from a recovery study |
ps |
true parameter values. This is only for recovery studies |
type |
calculate type 1 or 2 hyper parameters |
verbose |
print more information |
digits |
printing digits |
... |
other arguments |
Examples
## Not run:
est1 <- summary(hsam[[1]], FALSE)
est2 <- summary(hsam[[1]], FALSE, 1, 100)
est3 <- summary(hsam)
est4 <- summary(hsam, verbose = TRUE)
est5 <- summary(hsam, verbose = FALSE)
hest1 <- summary(hsam, TRUE)
## End(Not run)
[Package ggdmc version 0.2.6.0 Index]