linlog function

Linear in log dose Model

The model function for the linear in log model is defined as [REMOVE_ME]$f(d,\theta)=E_0+\delta \log(d + off)f(d,theta)=E0+delta log(d + off), [REMOVE_ME_2]$ where $off$ is an offset parameter not estimated in the code.

Description

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

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

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.

Returns

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