Showing 1 - 7 of 7
In this paper we present the R package gRc for statistical inference in graphical Gaussian models in which symmetry restrictions have been imposed on the concentration or partial correlation matrix. The models are represented by coloured graphs where parameters associated with edges or vertices...
Persistent link: https://www.econbiz.de/10008460803
In this paper we present the R package gRain for propagation in graphical independence networks (for which Bayesian networks is a special instance). The paper includes a description of the theory behind the computations. The main part of the paper is an illustration of how to use the package....
Persistent link: https://www.econbiz.de/10010986707
SASweave is a collection of scripts that allow one to embed SAS code into a LATEX document, and automatically incorporate the results as well. SASweave is patterned after Sweave, which does the same thing for code written in R. In fact, a document may contain both SAS and R code. Besides the...
Persistent link: https://www.econbiz.de/10005113286
This paper describes the core features of the R package geepack, which implements the generalized estimating equations (GEE) approach for fitting marginal generalized linear models to clustered data. Clustered data arise in many applications such as longitudinal data and repeated measures. The...
Persistent link: https://www.econbiz.de/10005113306
The gRbase package is intended to set the framework for computer packages for data analysis using graphical models. The gRbase package is developed for the open source language, R, and is available for several platforms. The package is intended to be widely extendible and flexible so that...
Persistent link: https://www.econbiz.de/10005113336
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....
Persistent link: https://www.econbiz.de/10005113357
This paper describes the R package mhsmm which implements estimation and prediction methods for hidden Markov and semi-Markov models for multiple observation sequences. Such techniques are of interest when observed data is thought to be dependent on some unobserved (or hidden) state. Hidden...
Persistent link: https://www.econbiz.de/10009018333