score_residual_bet: score_residual_bet

In bbreg: Bessel and Beta Regressions via Expectation-Maximization Algorithm for Continuous Bounded Data

score_residual_bet

Description

Function to calculate the empirical score residuals based on the beta regression.

Usage

score_residual_bet(
  kap,
  lam,
  z,
  x,
  v,
  nsim_score = 100,
  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.
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".

Value

Vector containing the score residuals.

See Also

quantile_residual_bet

bbreg documentation built on March 18, 2022, 6:21 p.m.