mvncovar2: Bayesian multivariate normal regression with unstructured...

In longit: High Dimensional Longitudinal Data Analysis Using MCMC

Description

Multivariate normal regression with group covaraites and unstructured covariance matrix.

Usage

mvncovar2(m, n, time, group, chains, iter, data)

Arguments

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

Value

mvncovarout

Author(s)

Atanu Bhattacharjee, Akash Pawar and Bhrigu Kumar Rajbongshi

References

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.

Examples

##
data(repdata)
mvncovar2(m=4,n=7,time="Age",group="Gender",chains=4,iter=100,data=repdata)
##

longit documentation built on April 15, 2021, 9:06 a.m.