mmm:an R package for analyzing multivariate longitudinal data with multivariate marginal models.

Asar, Özgür and Ilk, Ozlem (2013) mmm:an R package for analyzing multivariate longitudinal data with multivariate marginal models. Computer Methods and Programs in Biomedicine, 112 (3). pp. 649-654. ISSN 1872-7565

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Abstract

Modeling multivariate longitudinal data has many challenges in terms of both statistical and computational aspects. Statistical challenges occur due to complex dependence structures. Computational challenges are due to the complex algorithms, the use of numerical methods, and potential convergence problems. Therefore, there is a lack of software for such data. This paper introduces an R package mmm prepared for marginal modeling of multivariate longitudinal data. Parameter estimations are achieved by generalized estimating equations approach. A real life data set is applied to illustrate the core features of the package, and sample R code snippets are provided. It is shown that the multivariate marginal models considered in this paper and mmm are valid for binary, continuous and count multivariate longitudinal responses.

Item Type:
Journal Article
Journal or Publication Title:
Computer Methods and Programs in Biomedicine
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1706
Subjects:
ID Code:
65761
Deposited By:
Deposited On:
23 Jul 2013 12:39
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Jan 2020 08:34