pdInd: Positive-Definite Matrix With Zero Covariances Between...

In gmonette/nlmeYextra: Functions to add functionality to nlme

Description

This function is a constructor for the pdInd class, representing a positive-definite matrix with zero covariances except possibly in the first row and column. If the matrix associated with object is of dimension $n$, it is represented by $n + (n-1)$ unrestricted parameters representing a lower-triangular log-Cholesky decomposition. The first $n$ parameters are the logs of the diagonal elements of the matrix and the last $n-1$ components are the $n-1$ remaining elements of the lower-triangular decomposition corresponding the to the possibly non-zero covariances in the first row.

Usage

pdInd(value = numeric(0), form = NULL, nam = NULL, data = sys.parent())

gmonette/nlmeYextra documentation built on May 17, 2019, 7:25 a.m.