| Mmodel_compute_cor {bigDM} | R Documentation |
This function takes a inla object fitted using the MCAR_INLA function and computes the correlation coefficients between diseases. See Details for more information.
Mmodel_compute_cor(model, n.sample = 10000)
model |
object of class |
n.sample |
numeric; number of samples to generate from the approximated joint posterior for the hyperparameters (see |
The input inla object with two additional elements:
summary.cor |
A data.frame containing the mean, standard deviation, quantiles and mode of the correlation coefficients between diseases. |
marginals.cor |
A list containing the posterior marginal densities of the correlation coefficients between diseases. |
summary.var |
A data.frame containing the mean, standard deviation, quantiles and mode of the variances for each disease. |
marginals.var |
A list containing the posterior marginal densities of the variances for each disease. |