mle_alpha {lglasso} | R Documentation |
Maximum likelihood estimate of correlation parameter for given structure of precision matrix
Description
Maximum likelihood estimate of correlation parameter for given structure of precision matrix
Usage
mle_alpha(data, alpha0, omega, type, tole, lower, upper)
Arguments
data |
Data matrix in which the first column is subject id, the second column is the time points of observation. Columns 2 to (p+2) is the observations for p variables. |
alpha0 |
Initial value for the parameter in exponential distribution |
omega |
Fixed value for precision matrix |
type |
Type of correlation function, which can take either "abs" or "qua". |
tole |
Error tolerance for determination of convergence of EM algorithm |
lower |
Lower bound for prediction of correlation parameter tau |
upper |
Upper bound for prediction of correlation parameter tau |
Author(s)
Jie Zhou
[Package lglasso version 0.1.0 Index]