BinomialGLM

Flexible statistical modelling using a modular framework for
regression, in which groups of transformations are composed together
and act on probability distributions.

Daniel Farewell

Regression by Composition

Simon Schoenbuchner

BinomialGLM function

<dl><dt>link</dt>
<dd>the model link function, passed to binomial(). As usual,
this can be a name/expression, a literal character string, a
length-one character vector, or an object of class ‘"link-glm"’.</dd></dl>

Arguments

BinomialGLM flow — BinomialGLM

<dl>

<dt>link</dt>
<dd>the model link function, passed to binomial(). As usual,
this can be a name/expression, a literal character string, a
length-one character vector, or an object of class ‘"link-glm"’.</dd>

</dl>

BinomialGLM: BinomialGLM flow

Description

Usage

Arguments