glm.cmp, CMP support: Supporting Functions for COM-Poisson Regression

Description

Supporting Functions for COM-Poisson Regression

Usage

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

Arguments

object: object of type cmp.
...: other arguments, such as subset and na.action.
x: object of type cmp.
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 and nu.

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

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