nonmemboxcox {pmxcv} | R Documentation |
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
[Package pmxcv version 0.0.1.0 Index]