f.expect.bin: Calculate expected response values, for categorical response

In alfcrisci/bmdModeling: Benchmark dose modeling

Description

Calculate expected response values, for categorical response

Usage

f.expect.bin(model.ans = NA, x, regr.par = 0, fct1 = 1, fct2 = 1,
  kk = -1, nn = -1, dtype = 6, CES = NA, ttt = 0, twice = F,
  x.full = NA, fct1.full = NA, fct2.full = NA, ces.ans = 3, CES1, CES2,
  track = FALSE)

Arguments

model.ans	integer, determines the type of model to be fitted
x	numeric vector, the dose values
regr.par	numeric vector, regression parameter values
fct1	numeric, value for parameter a
fct2	numeric, value for parameter b
kk	vector of parameters?
nn	vector of total number
dtype	integer, determines the type of response
CES	numeric, value for the CES
ttt	numeric, time variable (redundant)
twice	logical, if TRUE two parameters are dependent of the same covariate
x.full	vector of concentrations
fct1.full	numeric, value for parameter a
fct2.full	numeric, value for parameter b
ces.ans	index type of benchmark response
CES1	numeric, value for the first CES (redundant)
CES2	numeric, value for the second CES (redundant)
track	logical, if TRUE (FALSE by default) print the name of the function which is currently being run

Value

numeric vector, the expected response values under the estimated regression model

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