GOSHO

Extract the Gosho Information Criterion (GOSHO)
for an object of <code>mcglm</code> class.
WARNING: This function is limited to models with ONE response variable.
This function is general useful only for longitudinal data analysis.

Fitting multivariate covariance generalized linear
models (McGLMs) to data. McGLM is a general framework for non-normal
multivariate data analysis, designed to handle multivariate response
variables, along with a wide range of temporal and spatial correlation
structures defined in terms of a covariance link function combined
with a matrix linear predictor involving known matrices.
The models take non-normality into account in the conventional way
by means of a variance function, and the mean structure is modelled
by means of a link function and a linear predictor.
The models are fitted using an efficient Newton scoring algorithm
based on quasi-likelihood and Pearson estimating functions, using
only second-moment assumptions. This provides a unified approach to
a wide variety of different types of response variables and covariance
structures, including multivariate extensions of repeated measures,
time series, longitudinal, spatial and spatio-temporal structures.
The package offers a user-friendly interface for fitting McGLMs
similar to the glm() R function.
See Bonat (2018) <doi:10.18637/jss.v084.i04>, for more information
and examples.

Wagner Hugo Bonat

mcglm

Multivariate Covariance Generalized Linear Models

GOSHO function

<dl><dt>object</dt>
<dd>an object of <code>mcglm</code> class.</dd>
<dt>id</dt>
<dd>a vector which identifies the clusters or groups.
The length and order of id should be the same as the number of
observations. Data are assumed to be sorted so that observations
on a cluster are contiguous rows for all entities in the formula.</dd>
<dt>verbose</dt>
<dd>logical. Print or not the GOSHO value.</dd></dl>

Arguments

Wagner Hugo Bonat, <a href="/link/wbonat%40ufpr.br?package=mcglm&version=0.8.0" data-mini-rdoc="mcglm::wbonat@ufpr.br">wbonat@ufpr.br</a>

Author

Gosho Information Criterion — GOSHO

<dl>

<dt>object</dt>
<dd>an object of <code>mcglm</code> class.</dd>


<dt>id</dt>
<dd>a vector which identifies the clusters or groups.
The length and order of id should be the same as the number of
observations. Data are assumed to be sorted so that observations
on a cluster are contiguous rows for all entities in the formula.</dd>


<dt>verbose</dt>
<dd>logical. Print or not the GOSHO value.</dd>

</dl>

Wagner Hugo Bonat, <a href='mailto:wbonat@ufpr.br'>wbonat@ufpr.br</a>

GOSHO: Gosho Information Criterion

Description

Usage

Value

Arguments

Author

See Also