linlog {MCPMod} | R Documentation |
The model function for the linear in log model is defined as
f(d,\theta)=E_0+\delta \log(d + off)
where off
is an offset parameter not estimated in the code.
linlog(dose, e0, delta, off = 1)
dose |
Dose variable |
e0 |
Placebo effect |
delta |
Slope parameter |
off |
Offset value to avoid problems with dose=0 (treated as a fixed value in the code) |
The linear in log-dose model is intended to capture concave
shapes. The parameter off
is not estimated in the code
but set to a pre-specified value.
Response value
Pinheiro, J. C., Bretz, F. and Branson, M. (2006). Analysis of dose-response studies - modeling approaches, in N. Ting (ed.). Dose Finding in Drug Development, Springer, New York, pp. 146–171
logistic
, sigEmax
,
linear
, exponential
, quadratic
,
emax
, betaMod