cfibrosis

This data frame concerns families data
  and cystic fibrosis.

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)
    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

cfibrosis function

The data is originally from Crow (1965) and
 appears as Table 2.3 of Lange (2002). 
Crow, J. F. (1965)
Problems of ascertainment in the analysis of family data.
Epidemiology and Genetics of Chronic Disease.
Public Health Service Publication 1163,
Neel J. V., Shaw M. W., Schull W. J., editors,
Department of Health, Education, and Welfare, Washington, DC,
USA.
Lange, K. (2002)
Mathematical and Statistical Methods for Genetic Analysis.
Second Edition.
Springer-Verlag: New York, USA.

cfibrosis: Cystic Fibrosis Data

Description

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Details

Examples