rshared.RdGenerating data from Shared Component model
rshared( alpha_1 = 0, alpha_2 = 0, beta_1 = c(0.1, -0.1), beta_2 = c(0.1, -0.1), delta = 1, tau_1 = 1, tau_2 = 1, tau_s = 1, confounding = "none", neigh, scale = TRUE )
| alpha_1 | intercept for disease 1. |
|---|---|
| alpha_2 | intercept for disease 2. |
| beta_1 | regression parameter(s) for disease 1. |
| beta_2 | regression parameter(s) for disease 2. |
| delta | dependence on the shared component. |
| tau_1 | precision of ICAR specific to disease 1. |
| tau_2 | precision of ICAR specific to disease 2. |
| tau_s | precision for ICAR specific to the shared component. |
| confounding | "none", "linear", "quadratic" or "cubic". |
| neigh | neighborhood structure. A |
| scale | scale covariates? TRUE or FALSE. |