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.  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, especially before version
    1.0.0 is released; see the NEWS file 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

Usage

Arguments

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Details

Examples