bayes_factor | R Documentation |
Extracts information about computed Bayes factors from object of class bmult
bayes_factor(x)
x |
object of class |
Returns list
with three data.frames
. The first dataframe bf_table
summarizes information
the Bayes factor for equality and inequality constraints. The second dataframe error_measures
contains for the overall Bayes factor
the approximate relative mean-squared error re2
, the approximate coefficient of variation cv
, and the approximate percentage error percentage
.
The third dataframe $bf_ineq_table
summarized
information about the Bayes factor for inequality constraints, that is, the log marginal likelihood estimates
for the constrained prior and posterior distribution. In addition, it contains for each independent Bayes factor
the approximate relative mean-squared error re2
In case the restricted hypothesis is tested against H_0 four data.frame
s will be returned.
The fourth dataframe $bf_eq_table
summarizes information about the Bayes factor for equality constraints compared to the encompassing
hypothesis.
# 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_informed(x=x, Hr=Hr, a=a, factor_levels=factor_levels, niter=1e3, seed=2020) bayes_factor(out_mult)
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