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

In mdonoghoe/logbin: Relative Risk Regression Using the Log-Binomial Model

Description

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

Usage

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

Arguments

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

Details

An equivalent method to vcov, to use with logbin 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.logbin, vcov.glm

Examples

## For an example see example(logbin)

mdonoghoe/logbin documentation built on Aug. 13, 2021, 7:30 p.m.