backPain

Data from a study of patients suffering from back pain. Prognostic
 variables were recorded at presentation and progress was categorised
 three weeks after treatment.

datasets

An implementation of about 6 major classes of
statistical regression models. At the heart of it are the
vector generalized linear and additive model (VGLM/VGAM)
classes, and the book "Vector Generalized Linear and
Additive Models: With an Implementation in R" (Yee, 2015)
<DOI:10.1007/978-1-4939-2818-7>
gives details of the statistical framework and VGAM package.
Currently only fixed-effects models are implemented,
i.e., no random-effects models. Many (150+) models and
distributions are estimated by maximum likelihood estimation
(MLE) or penalized MLE, using Fisher scoring. VGLMs can be
loosely thought of as multivariate GLMs. VGAMs are data-driven
VGLMs (i.e., with smoothing). The other classes are RR-VGLMs
(reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs,
RCIMs (row-column interaction models)---these classes perform
constrained and unconstrained quadratic ordination (CQO/UQO)
models in ecology, as well as constrained additive ordination
(CAO). Note that these functions are subject to change;
see the NEWS and ChangeLog files for latest changes.

Thomas Yee

VGAM

Vector Generalized Linear and Additive Models

backPain function

A data frame with 101 observations on the following 4 variables.
 <dl>
 <dt>x1</dt><dd>length of previous attack.</dd> <dt>x2</dt><dd>pain change.</dd> <dt>x3</dt><dd>lordosis.</dd> <dt>pain</dt><dd>an ordered factor describing the progress of each
 patient with levels <code>worse</code> < <code>same</code> <
 <code>slight.improvement</code> < <code>moderate.improvement</code> <
 <code>marked.improvement</code> < <code>complete.relief</code>. </dd> </dl>

Format

<a href="http://ideas.repec.org/c/boc/bocode/s419001.html">http://ideas.repec.org/c/boc/bocode/s419001.html</a> The data set and this help file was copied from gnm
 so that a vignette in VGAM could be run; the analysis is
 described in Yee (2010).

Source


  Data from a study of patients suffering from back pain. Prognostic
  variables were recorded at presentation and progress was categorised
  three weeks after treatment.



backPain: Data on Back Pain Prognosis, from Anderson (1984)

Description

Usage

Arguments

Format

Source

References

Examples