The mimR package for graphical modelling in R is introduced. We present some facilities of mimR, namely those relating specifying models, editing models, fitting models and doing model search. We also discuss the entities needed for flexible graphical modelling in terms of an ob ject structure. An example about a latent variable model is presented
The mplot package provides an easy to use implementation of model stability and variable inclusion p...
There are several packages at [1] that have been specially written for estimating Generalised Linear...
This article describes the R package mcglm implemented for fitting multivariate covariance generaliz...
The mimR package (version 1.1.1) for graphical modelling in R is introduced. We present some facilit...
The mimR package for graphical modelling in R is introduced. We present some facilities of mimR, nam...
Graphical models in their modern form have been around since the late 1970s and appear today in many...
Graphical models in their modern form have been around for nearly a quarter of a century. Various c...
Graphical modelling is a form of multivariate analysis that uses graphs to represent models. They en...
A graphical model is a class of statistical models that can be represented by a graph which can be u...
We have developed a package, called , consisting of a number of classes and associated methods to su...
Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound mode...
The graphical modeling was performed using the R packages “corpcor” [26] and “qgraph” [27].</p
The gRbase package is intended to set the framework for computer packages for data analysis using gr...
ABSTRACT Objective To demonstrate the efficiency and efficacy of the new freeware MGLMM in the st...
Ana Alves Francisco's Mixed effect models code for R. With an explanation of how to use it by Douwe ...
The mplot package provides an easy to use implementation of model stability and variable inclusion p...
There are several packages at [1] that have been specially written for estimating Generalised Linear...
This article describes the R package mcglm implemented for fitting multivariate covariance generaliz...
The mimR package (version 1.1.1) for graphical modelling in R is introduced. We present some facilit...
The mimR package for graphical modelling in R is introduced. We present some facilities of mimR, nam...
Graphical models in their modern form have been around since the late 1970s and appear today in many...
Graphical models in their modern form have been around for nearly a quarter of a century. Various c...
Graphical modelling is a form of multivariate analysis that uses graphs to represent models. They en...
A graphical model is a class of statistical models that can be represented by a graph which can be u...
We have developed a package, called , consisting of a number of classes and associated methods to su...
Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound mode...
The graphical modeling was performed using the R packages “corpcor” [26] and “qgraph” [27].</p
The gRbase package is intended to set the framework for computer packages for data analysis using gr...
ABSTRACT Objective To demonstrate the efficiency and efficacy of the new freeware MGLMM in the st...
Ana Alves Francisco's Mixed effect models code for R. With an explanation of how to use it by Douwe ...
The mplot package provides an easy to use implementation of model stability and variable inclusion p...
There are several packages at [1] that have been specially written for estimating Generalised Linear...
This article describes the R package mcglm implemented for fitting multivariate covariance generaliz...
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