coalminers


  Coalminers who are smokers without radiological pneumoconiosis,
  classified by age, breathlessness and wheeze.


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

coalminers function

A data frame with 9 age groups with the following 5 columns.
  <dl>
    <dt>BW</dt><dd>Counts with breathlessness and wheeze. </dd> <dt>BnW</dt><dd>Counts with breathlessness but no wheeze. </dd> <dt>nBW</dt><dd>Counts with no breathlessness but wheeze. </dd> <dt>nBnW</dt><dd>Counts with neither breathlessness or wheeze. </dd> <dt>age</dt><dd>Age of the coal miners (actually, the
      midpoints of the 5-year category ranges). </dd> </dl> 

Format

Ashford, J. R. and Sowden, R. R. (1970)
  Multi-variate probit analysis.
  <em>Biometrics</em>, <b>26</b>, 535--546. 

coalminers: Breathlessness and Wheeze Amongst Coalminers Data

Description

Usage

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Source

Details

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Examples