dpenaltyfunction: First derivative of the penalty function.
Description
This function implements the first derivative of the penalty function.
Usage
dpenaltyfunction(psv, beta)
Arguments
psv
penalty structure vector.
beta
estimated regression effects.
Value
is always 1, since the penalty fucntion p(xi)=xi is just the identity).
Details
This function implements the first derivative of the
penalty function with respect to the penalty.
The term 'penalty function' is described in detail on p. 4 in Oelker,
Tutz (2013): A General Family of Penalties for Combining Differing
Types of Penalties in Generalized Structured Models.