longit (version 0.1.0)

mvncovar2: Bayesian multivariate normal regression with unstructured covariance matrix for high dimensional longitudinal data.

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

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

# NOT RUN {
##
data(repdata)
mvncovar2(m=4,n=7,time="Age",group="Gender",chains=4,iter=100,data=repdata)
##
# }