sens_norm: Sensitivity analysis with log-normal distributions
In mrgsolve/mrgsolvetk: Simulation Tool Kit for mrgsolve

Sensitivity analysis with log-normal distributions

sens_norm(mod, pars = names(param(mod)), .n = 100, univariate = FALSE,
  ...)

sens_norm_(mod, .dots)

`mod`	the model object
`pars`	character vector or comma-separated string of model parameters to simulate
`.n`	the number of replicates to simulate
`univariate`	if `TRUE`, separate simulations are done for each input parameter
`...`	passed to `sens_norm_idata` and to mrgism
`.dots`	list of arguments to pass to `sens_norm`