alogit

Perform an inverse logit calculation

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

alogit function

<dl> <dt>x</dt>
<dd>a numeric value</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

Calculate the Inverse Logit Transformation — alogit

<dl>

 <dt>x</dt>
<dd>a numeric value</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>

alogit: Calculate the Inverse Logit Transformation

Description

Usage

Value

Arguments

Author