envelope_bet {bbreg} | R Documentation |
envelope_bet
Description
Function to calculate envelopes based on residuals for the beta regression.
Usage
envelope_bet(
residual,
kap,
lam,
x,
v,
nsim_env,
prob,
n,
epsilon,
link.mean,
link.precision
)
Arguments
residual |
character indicating the type of residual ("pearson", "score" or "quantile"). |
kap |
coefficients in kappa related to the mean parameter. |
lam |
coefficients in lambda related to the precision parameter. |
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_env |
number of synthetic data sets to be generated. |
prob |
confidence level of the envelope (number between 0 and 1). |
n |
sample size. |
epsilon |
tolerance parameter used in the Expectation-Maximization algorithm applied to the synthetic data. |
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
Matrix with dimension 2 x n (1st row = upper bound, second row = lower bound).
See Also
score_residual_bet
, quantile_residual_bet
, pred_accuracy_bet