Sample model parameters using `mvrnorm` or the `simpar` package

Usage

samplePars(file.mod, nsims, method, seed.R, format = "ext", as.fun)

Arguments

file.mod: Path to model control stream. Will be used for both `NMreadExt()` and `NMreadCov()`, and extension will automatically be replaced by `.ext` and `.cov`.
nsims: Number of sets of parameter values to generate. Passed to `simpar`.
method: The sampling method. Options are "mvrnorm" and "simpar". Each have pros and cons. Notice that both methods are fully automated as long as ".ext" and ".cov" files are available.
seed.R: seed value passed to set.seed().
format: The returned data set format "ext" (default) or "wide". "ext" is a long-format, similar to what `NMdata::NMreadExt()` returns.
as.fun: The default is to return data as a data.frame. Pass a function (say `tibble::as_tibble`) in as.fun to convert to something else. If data.tables are wanted, use as.fun="data.table". The default can be configured using NMdataConf.

Value

A table with sampled model parameters

Details

This function was originally create by Sanaya Shroff and Philip Delff for sampling using `simpar`. It has since been generalized to support sampling with `mvrnorm()` too.