score_residual_bet {bbreg} | R Documentation |
Function to calculate the empirical score residuals based on the beta regression.
score_residual_bet(
kap,
lam,
z,
x,
v,
nsim_score = 100,
link.mean,
link.precision
)
kap |
coefficients in kappa related to the mean parameter. |
lam |
coefficients in lambda related to the precision parameter. |
z |
response vector with 0 < z_i < 1. |
x |
matrix containing the covariates for the mean submodel. Each column is a different covariate. |
v |
matrix containing the covariates for the precision submodel. Each column is a different covariate. |
nsim_score |
number synthetic data sets (default = 100) to be generated as a support to estime mean and s.d. of log(z)-log(1-z). |
link.mean |
a string containing the link function for the mean. The possible link functions for the mean are "logit","probit", "cauchit", "cloglog". |
link.precision |
a string containing the link function the precision parameter. The possible link functions for the precision parameter are "identity", "log", "sqrt", "inverse". |
Vector containing the score residuals.