f.lump.cat: ? Add values to e.g. response y to avoid log of 0

In alfcrisci/bmdModeling: Benchmark dose modeling

Description

? Add values to e.g. response y to avoid log of 0

Usage

f.lump.cat(x, y, nn, fct1, fct2, dtype, twice, track = FALSE)

Arguments

x	vector independent variable
y	vector response
nn	vector number of observations
fct1	vector covariate on which parameter a is dependent
fct2	vector covariate on which parameter b is dependent
dtype	integer response data type
twice	logical, if TRUE two parameters are dependent of the same covariate
track	logical, if TRUE (FALSE by default) print the name of the function which is currently being run

Value

list with some values

alfcrisci/bmdModeling documentation built on May 28, 2019, 12:32 a.m.