linlog: Linear in log dose Model

In MCPMod: Design and Analysis of Dose-Finding Studies

Description

The model function for the linear in log model is defined as

f(d,theta)=E0+delta log(d + off),

where off is an offset parameter not estimated in the code.

Usage

linlog(dose, e0, delta, off = 1)

Arguments

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)

Details

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.

Value

Response value

References

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

See Also

logistic, sigEmax, linear, exponential, quadratic, emax, betaMod

MCPMod documentation built on March 26, 2020, 7:28 p.m.