nonmemboxcox: Box-Cox transform typically used in NONMEM

In pmxcv: Integration-Based Coefficients of Variance

Box-Cox transform typically used in NONMEM

Description

Parameters are typically treated as lognormally-distributed by NONMEM users. Box-Cox transforms are typically applied to the exponentiated individual ETA parameters; this means the parameter is neither Box-Cox distributed nor lognormally-distributed, but both. To get the "Box-Cox Transform" as it would be relevant for CV% calculation, these properties have to be considered.

Usage

nonmemboxcox(x, lambda, theta = 1, inv = FALSE)

Arguments

x	random vector. Must be positive.
lambda	shape parameter
theta	centrality parameter
inv	inverse transform

Value

Box-Cox transformed or untransformed vector

pmxcv documentation built on May 29, 2024, 7:28 a.m.