View source: R/bmult_S3methods.R
summary.bmult_bridge | R Documentation |
bmult_bridge
Summarizes bridge sampling results and associated error measures
## S3 method for class 'bmult_bridge' summary(object, ...)
object |
object of class |
... |
additional arguments, currently ignored |
Invisibly returns a list
which contains the log marginal likelihood for inequality constrained category proportions and associated error terms.
# data x <- c(3, 4, 10, 11) n <- c(15, 12, 12, 12) # priors a <- c(1, 1, 1, 1) b <- c(1, 1, 1, 1) # informed hypothesis factor_levels <- c('theta1', 'theta2', 'theta3', 'theta4') Hr <- c('theta1', '<', 'theta2', '<', 'theta3', '<', 'theta4') ## Multinomial Case out_mult <- mult_bf_inequality(x=x, Hr=Hr, a=a, factor_levels=factor_levels, niter=1e3, seed=2020) summary(out_mult)
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