kbackfit

n x q matrix, data for nonparametric part

optional, n x p matrix, data for linear part

m x q matrix, where to calculate the nonparametric function (default = t)

grid

weights.conv

offset

one of <code>"generic"</code>, <code>"linit"</code> or <code>"modified"</code>

method

max.iter

eps.conv

m.start

text string, see <code><a rd-options="" href="/link/kernel.function?package=gplm&version=0.7-4" data-mini-rdoc="gplm::kernel.function">kernel.function</a></code>

kernel


  Implements kernel-based backfitting in an additive model,
  optional with a partial linear term.


smooth

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.

Marlene Mueller

gplm

Generalized Partial Linear Models (GPLM)

kbackfit function

text string, see <code><a rd-options='' href='kernel.function'>kernel.function</a></code>

kbackfit: Backfitting for an additive model using kernel regression

Description

Usage

Arguments

Value

See Also