mvncovar1 {longit} | R Documentation |
Multivariate Regression with independent covariance matrix in longitudinal datasetup with high dimensional.
mvncovar1(m, n, time, group, chains, iter, data)
m |
Starting number of column from where repeated observations begin |
n |
Ending number of columns till where the repeated observations ends |
time |
Timepoint information on which repeadted observations were taken |
group |
A categorical variable either 0 or 1. i.e. Gender - 1 male and 0 female |
chains |
Number of MCMC chains to be performed |
iter |
Number of iterations to be performed |
data |
High dimensional longitudinal data |
mvncovarout lists posterior omega and sigma values.
Atanu Bhattacharjee, Akash Pawar and Bhrigu Kumar Rajbongshi
Bhattacharjee, A. (2020). Bayesian Approaches in Oncology Using R and OpenBUGS. CRC Press.
Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian data analysis. CRC press.
Fitzmaurice, G. M., Laird, N. M., & Ware, J. H. (2012). Applied longitudinal analysis (Vol. 998). John Wiley & Sons.
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data(repdata)
mvncovar1(m=4,n=7,time="Age",group="Gender",chains=10,iter=100,repdata)
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