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

gam.data function

A data frame with 100 observations on the following 6 variables.
  <dl class="dl-horizontal">
    <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 class='dl-horizontal'>
    <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

Usage

Arguments

Format

Details

Examples