This function performers an approximated Bayesian cross-validation for a b3lmeta object
# S3 method for b3lmeta
diagnostic(
object,
post.p.value.cut = 0.05,
study.names = NULL,
size.forest = 0.4,
lwd.forest = 0.2,
shape.forest = 23,
...
)The object generated by the function b3lmeta.
Posterior p-value cut point to assess outliers.
Character vector containing names of the studies used.
Size of the center symbol mark in the forest-plot lines
Thickness of the lines in the forest-plot
Type of symbol for the center mark in the forest-plot lines
...