vcov.addreg: Calculate Variance-Covariance Matrix for a Fitted addreg...

In mdonoghoe/addreg: Additive Regression for Discrete Data

Description

Returns the variance-covariance matrix of the main parameters of a fitted addreg model object.

Usage

## S3 method for class 'addreg'
vcov(object, ...)

Arguments

object	an object of class "addreg", usually from a call to addreg or addreg.smooth.
...	additional arguments for method functions.

Details

An equivalent method to vcov, to use with addreg models.

Value

A matrix of the estimated covariances between the parameter estimates in the linear or non-linear predictor of the model. This should have row and column names corresponding to the parameter names given by the coef method.

Note

If object$boundary == TRUE, the standard errors of the coefficients are not valid, and a matrix of NaNs is returned.

Author(s)

Mark W. Donoghoe [e-mail]

See Also

summary.addreg, vcov.glm

Examples

## For an example, see example(addreg)

mdonoghoe/addreg documentation built on May 22, 2019, 4:19 p.m.