| quantile_residual_bet {bbreg} | R Documentation |
quantile_residual_bet
Description
Function to calculate quantile residuals based on the beta regression. Details about this type of residual can be found in Pereira (2019).
Usage
quantile_residual_bet(kap, lam, z, x, v, link.mean, link.precision)
Arguments
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. |
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". |
Value
Vector containing the quantile residuals.
References
DOI:10.1080/03610918.2017.1381740 (Pereira; 2019)