boot_jaatha: Parametric Bootstrapping of Jaatha Estimates
Description
This function is a helper function for using the boot
function to bootstrap Jaatha estimates. Each bootstap replication requires
a complete jaatha estimation on data simulated with the original parameter
estimates. Therefore, bootstrapping is normally computationally demanding and
should be executed on a computing cluster. The jaatha analyses are
resticted to a single CPU cores, so that as many replicas as possible can
be executed in parallel using the corresponding options of
boot.Usage
boot_jaatha(model, data, results, R, ...)
Arguments
results
The results of an jaatha analysis performed with
the same model and data as passed to this function. R
The number of bootstrapping replicates that are performed.
...
Additional arguments that are passed on boot.
It is highly recommended to use its parallel and ncpus
options to parallelize the bootstrap replicates. Value
- The result of
boot. This object can be used to
estimate standard errors or confidence intervals of the estimates using
the functions available in package boot.