loo,mafit-method {publipha} | R Documentation |
Calculate the loo
for an ma
object.
Description
Computes PSIS-LOO CV, approximate leave-one-out cross-validation
using Pareto smoothed importance sampling, see loo
.
Usage
## S4 method for signature 'mafit'
loo(x, ...)
Arguments
x |
an object of class |
... |
passed to |
Details
...
affect the function through two parameters, marginal
and
lower_bound
. When marginal
is TRUE
, the PSIS-LOO CV is based on the
marginal likelihood, i.e. with the dependence on theta
integrated out.
marginal
defaults to TRUE
. lower_bound
species the lower bound where
log-likelihoods are dropped; this is only used in the p-hacking model
and defaults to -6.
Value
A loo
object.
Examples
phma_model <- phma(yi, vi, data = metadat::dat.begg1989)
psma_model <- psma(yi, vi, data = metadat::dat.begg1989)
loo(phma_model)
loo(psma_model)
[Package publipha version 0.1.2 Index]