compute_cov: Compute Covariance Matrix for Spatial Model

In AgePopDenom: Model Fine-Scale Age-Structured Population Data using Open-Source Data

Compute Covariance Matrix for Spatial Model

Description

This function computes a block covariance matrix for a bivariate spatial model with age-structured parameters.

Usage

compute_cov(
  gamma,
  sigma2,
  phi,
  u_dist,
  n_x,
  tau2_1 = 1,
  tau2_2 = 1,
  age_param_data
)

Arguments

gamma	Correlation parameter between the two spatial processes
sigma2	Variance parameter for the spatial processes
phi	Range parameter for the spatial correlation
u_dist	Distance matrix between locations
n_x	Number of spatial locations
tau2_1	Variance parameter for first process (default = 1)
tau2_2	Variance parameter for second process (default = 1)
age_param_data	List containing age-structured parameters: b1: Vector of age parameters for first process b2: Vector of age parameters for second process c: Vector of cross-process age parameters

Value

A sparse symmetric matrix of dimension 2n_x × 2n_x

AgePopDenom documentation built on April 12, 2025, 1:41 a.m.