Beta

Skeleton list to declare a Beta distribution in a `Model` object

Specification, analysis, simulation, and fitting of generalised linear mixed models.
Includes Markov Chain Monte Carlo Maximum likelihood and Laplace approximation model fitting for a range of models,
non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily,
robust and bias-corrected standard error estimation, power calculation, data simulation, and more.
See <https://samuel-watson.github.io/glmmr-web/> for a detailed manual.

Sam Watson

glmmrBase

Generalised Linear Mixed Models in R

Beta function

<dl><dt>link</dt>
<dd>Name of link function. Only accepts `logit` currently.</dd></dl>

Arguments

Beta distribution declaration — Beta

<dl>

<dt>link</dt>
<dd>Name of link function. Only accepts `logit` currently.</dd>

</dl>

Beta: Beta distribution declaration

Description

Usage

Value

Arguments