gamlss.lo

This is support for the <code>loess</code> function <code>lo()</code>.
It is not intended to be called directly by users. The function <code>gamlss.lo</code> is calling the R function <code>loess</code>.

regression

Functions for fitting the Generalized Additive Models for Location Scale and Shape introduced by Rigby and Stasinopoulos (2005), <doi:10.1111/j.1467-9876.2005.00510.x>. The models use a distributional regression approach where all the parameters of the conditional distribution of the response variable are modelled using explanatory variables.

Mikis Stasinopoulos

gamlss

Generalised Additive Models for Location Scale and Shape

Bob Rigby

Vlasios Voudouris

Calliope Akantziliotou

Marco Enea

Daniil Kiose

gamlss.lo function

<dl> <dt>x</dt>
<dd>the design matrix</dd> <dt>y</dt>
<dd>the response variable</dd> <dt>w</dt>
<dd>prior weights</dd> <dt>xeval</dt>
<dd>used in prediction</dd>
 
 <dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Mikis Stasinopoulos based on Brian Ripley implementation of <code>loess</code> function in R

Author

Support for Function lo() — gamlss.lo

<dl>

 <dt>x</dt>
<dd>the design matrix</dd>

 <dt>y</dt>
<dd>the response variable</dd>

 <dt>w</dt>
<dd>prior weights</dd>

 <dt>xeval</dt>
<dd>used in prediction</dd>
 
 <dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

gamlss.lo: Support for Function lo()

Description

Usage

Value

Arguments

Author

See Also