Calculating the actual fitted values of the response, depending on the actual parameter set beta
f.hat(penden.env,ck.temp=NULL)Containing all information, environment of pendensity()
actual weights, depending on the actual parameter set beta. If NULL, the beta parameter is caught in th environment
The returned value is a vector of the fitted value for each observation of y.
Calculating the actual fitted values of the response, depending on the actual parameter set beta. Multiplying the actual set of parameters \(c_k\) with the base 'base.den' delivers the fitted values, depending on the group of covariates, listed in 'x.factor'.
Density Estimation with a Penalized Mixture Approach, Schellhase C. and Kauermann G. (2012), Computational Statistics 27 (4), p. 757-777.