Title of article :
Analysis of Mixed Correlated Ordinal and Continuous Responses with and Without Missing Data in R: Latent Variable Approach
Author/Authors :
E. Bahrami Samani and M. Ganjali، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
20
From page :
3815
To page :
3834
Abstract :
This paper describes the joint models for univariate and multivariate mixed correlated ordinal and continuous responses with and without missing data in R. A full likelihood based approach is used to obtain maximum likelihood estimates of parameters of each model. We describe the implementation of these models in the packages MASS, Mvtnorm, nlme and Stats and illustrate the usage of the packages on several real data examples
Keywords :
Joint modelling , maximum likelihood , latent variable , Ordinal and continuous responses , Missing Responses , R.
Journal title :
Australian Journal of Basic and Applied Sciences
Serial Year :
2010
Journal title :
Australian Journal of Basic and Applied Sciences
Record number :
675908
Link To Document :
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