gam.data

gam.newdata

A simple simulated dataset, used to test out the gam functions

datasets

Functions for fitting and working with generalized	additive models, as described in chapter 7 of "Statistical Models in S" (Chambers and Hastie (eds), 1991), and "Generalized Additive Models" (Hastie and Tibshirani, 1990).

Trevor Hastie

Generalized Additive Models

Balasubramanian Narasimhan

gam.data function

A data frame with 100 observations on the following 6 variables:<dl>
<dt>x</dt>
<dd>a numeric vector - predictor</dd><dt>y</dt>
<dd>a numeric vector - the response</dd><dt>z</dt>
<dd>a numeric vector - noise predictor</dd><dt>f</dt>
<dd>a numeric vector - true function</dd><dt>probf</dt>
<dd>a numeric vector - probability function</dd><dt>ybin</dt>
<dd>a numeric vector - binary response</dd>
</dl>

Format

Simulated dataset for gam — gam.data

A data frame with 100 observations on the following 6 variables:<dl>
<dt>x</dt>
<dd>a numeric vector - predictor</dd>

<dt>y</dt>
<dd>a numeric vector - the response</dd>

<dt>z</dt>
<dd>a numeric vector - noise predictor</dd>

<dt>f</dt>
<dd>a numeric vector - true function</dd>

<dt>probf</dt>
<dd>a numeric vector - probability function</dd>

<dt>ybin</dt>
<dd>a numeric vector - binary response</dd>


</dl>

gam.data: Simulated dataset for gam

Description

Arguments

Format

Details

Examples