f.expect.con: Calculate expected response values, for continuous response

In alfcrisci/bmdModeling: Benchmark dose modeling

Description

This function is used also for quantal response (f.expect.cat)

Usage

f.expect.con(model.ans, x, regr.par = 0, fct1 = 1, fct2 = 1, fct3 = 1,
  fct4 = 1, fct5 = 1, CES = NA, twice, ttt = 0, y = 0, increase,
  x.mn = NA, par.start = NA, 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
fct3	numeric, value for parameter var
fct4	numeric, value for parameter c
fct5	numeric, value for parameter d
CES	numeric, value for the CES
twice	boolean, if some parameter values are equal, see f.execute()
ttt	numeric, time variable
y	numeric vector, the response values
increase	boolean, whether the response values are increasing or decreasing for increasing dose values
x.mn	numeric value, the mean of dose values, see f.execute()
par.start	numeric vector, regression parameter values (e.g. MLEs)
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.