sglg (version 0.2.2)

influence.sglg: influence

Description

influence.sglg extracts from a object of class sglg the local influence measures and displays their graphs versus the index of the observations.

Usage

# S3 method for sglg
influence(model, ...)

Arguments

model

an object of the class sglg. This object is returned from the call to glg(), sglg(), survglg() or ssurvglg().

...

other arguments.

Author

Carlos Alberto Cardozo Delgado <[e-mail]>

References

Carlos Alberto Cardozo Delgado, Semi-parametric generalized log-gamma regression models. Ph. D. thesis. Sao Paulo University.

Cardozo C.A., Paula G., and Vanegas L. (2022). Generalized log-gamma additive partial linear models with P-spline smoothing. Statistical Papers.

Examples

rows <- 100
columns <- 2
t_beta  <- c(0.5, 2)
t_sigma <- 1
t_lambda <- 1
set.seed(8142031)
x1 <- rbinom(rows, 1, 0.5)
x2 <- runif(columns, 0, 1)
X <- cbind(x1,x2)
error <- rglg(rows, 0, 1, t_lambda)
y1 <- X %*%t_beta + t_sigma * error
data.example <- data.frame(y1,X)
fit1 <- glg(y1 ~ x1 + x2 - 1,data=data.example)
influence(fit1)