summary.slm

Summarize a <code>slm</code> object

file

Fit various smoothing spline models. Includes an ssr() function for smoothing
spline regression, an nnr() function for nonparametric nonlinear regression, an snr()
function for semiparametric nonlinear regression, an slm() function for semiparametric
linear mixed-effects models, and an snm() function for semiparametric nonlinear
mixed-effects models. See Wang (2011) <doi:10.1201/b10954> for an overview.

Yuedong Wang

assist

A Suite of R Functions Implementing Spline Smoothing Techniques

Chunlei Ke

Cleve Moler

summary.slm function

<dl><dt>object</dt>
<dd>a fitted <code>slm</code> object.</dd><dt>...</dt>
<dd>unused argument</dd></dl>

Arguments

Chunlei Ke <a href="/link/chunlei_ke%40yahoo.com?package=assist&version=3.1.9" data-mini-rdoc="assist::chunlei_ke@yahoo.com">chunlei_ke@yahoo.com</a> and Yuedong Wang <a href="/link/yuedong%40pstat.ucsb.edu?package=assist&version=3.1.9" data-mini-rdoc="assist::yuedong@pstat.ucsb.edu">yuedong@pstat.ucsb.edu</a>

Author

Object Summaries — summary.slm

<dl>

<dt>object</dt>
<dd>a fitted <code>slm</code> object.</dd>

<dt>...</dt>
<dd>unused argument</dd>

</dl>

Chunlei Ke <a href='mailto:chunlei_ke@yahoo.com'>chunlei_ke@yahoo.com</a> and Yuedong Wang <a href='mailto:yuedong@pstat.ucsb.edu'>yuedong@pstat.ucsb.edu</a>

summary.slm: Object Summaries

Description

Usage

Arguments

Author

Details

See Also