check_cov_lower: Check Lower Bound of Covariance Parameters

In varycoef: Modeling Spatially Varying Coefficients

Check Lower Bound of Covariance Parameters

Description

Ensures that the covariance parameters define a positive definite covariance matrix. It takes the vector (\rho_1, \sigma^2_1, ..., \rho_q, \sigma^2_q, \tau^2) and checks if all \rho_k>0, all \sigma_k^2>=0, and \tau^2>0.

Usage

check_cov_lower(cv, q)

Arguments

cv	(numeric(2*q+1)) Covariance vector of SVC model.
q	(numeric(1)) Integer indicating the number of SVCs.

Value

logical(1) with TRUE if all conditions above are fulfilled.

Examples

# first one is true, all other are false
check_cov_lower(c(0.1, 0, 0.2,  1, 0.2), q = 2)
check_cov_lower(c(0  , 0, 0.2,  1, 0.2), q = 2)
check_cov_lower(c(0.1, 0, 0.2,  1, 0  ), q = 2)
check_cov_lower(c(0.1, 0, 0.2, -1, 0  ), q = 2)

varycoef documentation built on June 8, 2025, 10:46 a.m.