dpenaltyfunction {penMSM}

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.

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.

Value

Value of the first derivative of the penalty function (note: this is always 1, since the penalty fucntion p(xi)=xi is just the identity).

Author(s)

Holger Reulen

Examples

## Not run: dpenaltyfunction(psv, beta)