glm.cmp, CMP support {COMPoissonReg} | R Documentation |
Supporting Functions for COM-Poisson Regression
Description
Supporting Functions for COM-Poisson Regression
Usage
## S3 method for class 'cmpfit'
summary(object, ...)
## S3 method for class 'cmpfit'
print(x, ...)
## S3 method for class 'cmpfit'
logLik(object, ...)
## S3 method for class 'cmpfit'
AIC(object, ..., k = 2)
## S3 method for class 'cmpfit'
BIC(object, ...)
## S3 method for class 'cmpfit'
coef(object, type = c("vector", "list"), ...)
## S3 method for class 'cmpfit'
nu(object, ...)
## S3 method for class 'cmpfit'
sdev(object, type = c("vector", "list"), ...)
## S3 method for class 'cmpfit'
vcov(object, ...)
## S3 method for class 'cmpfit'
equitest(object, ...)
## S3 method for class 'cmpfit'
leverage(object, ...)
## S3 method for class 'cmpfit'
deviance(object, ...)
## S3 method for class 'cmpfit'
residuals(object, type = c("raw", "quantile"), ...)
## S3 method for class 'cmpfit'
predict(object, newdata = NULL, type = c("response", "link"), ...)
## S3 method for class 'cmpfit'
parametric.bootstrap(object, reps = 1000, report.period = reps + 1, ...)
Arguments
object |
object of type |
... |
other arguments, such as |
x |
object of type |
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 |
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
.