sample_generic: Generic function for parameter sampling according to the...

In campsismod: Generic Implementation of a PK/PD Model

Generic function for parameter sampling according to the minimum and maximum values. This function will sample parameters a first time and check if some parameters are out of range. Based on the success rate, it will sample more parameters to reach the desired number of rows.

Description

Generic function for parameter sampling according to the minimum and maximum values. This function will sample parameters a first time and check if some parameters are out of range. Based on the success rate, it will sample more parameters to reach the desired number of rows.

Usage

sample_generic(fun, args, n, minMax, msg, settings, parameters = NULL)

Arguments

fun	function to call to sample parameters
args	arguments to pass to the function
n	number of rows to sample
minMax	a data frame with min, max values for each parameter
msg	message template
settings	replication settings
parameters	double array parameters to check for positive definiteness

Value

tibble with the sampled parameters (1 parameter per column + REPLICATE column)

campsismod documentation built on July 30, 2026, 9:06 a.m.