predict.emc {EMC2} | R Documentation |
Simulate n_post
data sets using the posterior parameter estimates
## S3 method for class 'emc'
predict(
object,
hyper = FALSE,
n_post = 100,
n_cores = 1,
stat = c("random", "mean", "median")[1],
...
)
object |
An emc object from which posterior predictives should be generated |
hyper |
Boolean. Defaults to |
n_post |
Integer. Number of generated datasets |
n_cores |
Integer. Number of cores across which there should be parallellized |
stat |
Character. Can be |
... |
Optional additional arguments passed to |
A list of simulated data sets of length n_post
# based on an emc object ran by fit() we can generate posterior predictives
predict(samples_LNR, n_cores = 1, n_post = 10)