creg: Bayesian multivariate regression with unstructured covariance...

In longit: High Dimensional Longitudinal Data Analysis Using MCMC

Description

Multivariate Regression with unstructured covariance matrix in longitudinal datasetup with high dimensional.

Usage

creg(m, n, chains, n.adapt, data)

Arguments

m	Starting number of column from where repeated observations begin
n	Ending number of columns till where the repeated observations ends
chains	Number of MCMC chains to be performed
n.adapt	Number of iterations to be performed
data	High dimensional longitudinal data

Value

Results of posterior means and standard deviation.

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)
creg(m=4,n=7,chains=4,n.adapt=100,data=repdata)
##

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