glm.cmp, ZICMP support: Supporting Functions for ZICMP Regression

Description

Supporting Functions for ZICMP Regression

Usage

# S3 method for zicmpfit
summary(object, ...)
# S3 method for zicmpfit
print(x, ...)
# S3 method for zicmpfit
logLik(object, ...)
# S3 method for zicmpfit
AIC(object, ..., k = 2)
# S3 method for zicmpfit
BIC(object, ...)
# S3 method for zicmpfit
coef(object, type = c("vector", "list"), ...)
# S3 method for zicmpfit
nu(object, ...)
# S3 method for zicmpfit
sdev(object, type = c("vector", "list"), ...)
# S3 method for zicmpfit
vcov(object, ...)
# S3 method for zicmpfit
equitest(object, ...)
# S3 method for zicmpfit
deviance(object, ...)
# S3 method for zicmpfit
residuals(object, type = c("raw", "quantile"), ...)
# S3 method for zicmpfit
predict(object, newdata = NULL, type = c("response", "link"), ...)
# S3 method for zicmpfit
parametric.bootstrap(object, reps = 1000, report.period = reps + 1, ...)

Arguments

object: object of type zicmp.
...: other arguments, such as subset and na.action.
x: object of type zicmp.
k: Penalty per parameter to be used in AIC calculation.
type: Specifies quantity to be computed. See details.
newdata: New covariates to be used for prediction.
reps: Number of bootstrap repetitions.
report.period: Report progress every report.period iterations.

Details

The function residuals returns raw residuals when type = "raw" and quantile residuals when type = "quantile".

The function predict returns expected values of the outcomes, eveluated at the computed estimates, when type = "response". When type = "link", a data.frame is instead returned with columns corresponding to estimates of lambda, nu, and p.

The function coef returns a vector of coefficient estimates in the form c(beta, gamma, zeta) when type = "vector". When type = "list", the estimates are returned as a list with named elements beta and gamma, and zeta.

The type argument behaves the same for the sdev function as it does for coef.