summary.ssr

Provides a synopsis of a <code>ssr</code> object and perform tests.

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.ssr function

<dl> <dt>object</dt>
<dd>a fitted <code>ssr</code> object.</dd> <dt>...</dt>
<dd>unused option.</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

Summarize a ssr object — summary.ssr

<dl>

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

 <dt>...</dt>
<dd>unused option.</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.ssr: Summarize a ssr object

Description

Usage

Arguments

Author

Details

See Also