bmscstan wrapper for computing approximate leave-one-out cross-validation (loo) and Watanabe-Akaike Information Criterion or Widely Applicable Information Criterion (WAIC) using PSIS-LOO for the single case and the control group
BMSC_loo(x, cores = 1, ...)BMSC_waic(x, ...)
# S3 method for loo_BMSC
plot(x, ...)
# S3 method for waic_BMSC
print(x, ...)
# S3 method for loo_BMSC
print(x, ...)
for `BMSC_loo` a list with the log likelihood of the single case and the control group, the MCMC effective sample size divided by the total sample size, and the leave-one-out cross-validation. For `BMSC_waic` a list with the log likelihood of the single case and the control group, and the waic scores.
An object of class BMSC, resulting from the
BMSC function.
The number of cores for the `loo::relative_eff` function
for `BMSC_loo` and `BMSC_waic` further arguments passed to the `loo::extract_log_lik` function. for `print` and `plot` methods further arguments to be passed to the `print` or `plot` functions