Generalized Partial Linear Models (GPLM)
Scott's rule of thumb
Kernel convolution
Create a grid for kernel estimation
Link function for GLM
(Inverse) Link function for GLM
Log-likelihood for GLM
Log-likelihood derivatives for GLM
Backfitting for an additive model using kernel regression
Kernel density estimation
Kernel constants
Kernel function
Generalized partial linear model
Kernel regression
Generalized partial linear model
Provides functions for estimating a generalized partial linear model, a semiparametric variant of the generalized linear model (GLM) which replaces the linear predictor by the sum of a linear and a nonparametric function.