Description Usage Arguments Value Author(s)
This function builds the joint variance-covariance matrix using the Generalized Kronecker product and its derivatives with respect to rho, power and tau parameters.
1 2 3 4 | mc_build_C(list_mu, list_Ntrial, rho, list_tau, list_power, list_Z,
list_sparse, list_variance, list_covariance, list_power_fixed,
compute_C = FALSE, compute_derivative_beta = FALSE,
compute_derivative_cov = TRUE)
|
list_mu |
A list with values of the mean. |
list_Ntrial |
A list with the number of trials. Usefull only for binomial responses. |
rho |
Vector of correlation parameters. |
list_tau |
A list with values for the tau parameters. |
list_power |
A list with values for the power parameters. |
list_Z |
A list of matrix to be used in the matrix linear predictor. |
list_sparse |
A list with Logical. |
list_variance |
A list specifying the variance function to be used for each response variable. |
list_covariance |
A list specifying the covariance function to be used for each response variable. |
list_power_fixed |
A list of Logical specifying if the power parameters are fixed or not. |
compute_C |
Logical. Compute or not the C matrix. |
compute_derivative_beta |
Logical. Compute or not the derivative of C with respect to regression parameters. |
compute_derivative_cov |
Logical. Compute or not the derivative of C with respect the covariance parameters. |
A list with the inverse of the C matrix and the derivatives of the C matrix with respect to rho, power and tau parameters.
Wagner Hugo Bonat
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