gplm (version 0.7-4)

Generalized Partial Linear Models (GPLM)

Description

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.

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Version

Install

install.packages('gplm')

Monthly Downloads

222

Version

0.7-4

License

GPL (>= 2)

Maintainer

Marlene Mueller

Last Published

August 29th, 2016

Functions in gplm (0.7-4)

create.grid

Create a grid for kernel estimation

glm.lld

Log-likelihood derivatives for GLM

glm.link

(Inverse) Link function for GLM

kde

Kernel density estimation

glm.inverse.link

Link function for GLM

kernel.constants

Kernel constants

kbackfit

Backfitting for an additive model using kernel regression

bandwidth.scott

Scott's rule of thumb

convol

Kernel convolution

glm.ll

Log-likelihood for GLM

Generalized partial linear model

sgplm1

Generalized partial linear model