mc_robust_std: Robust Standard Error for Regression Parameters

Description Usage Arguments Value Author(s) Source See Also

View source: R/mc_robust_std.R

Description

Compute robust standard error for regression parameters in the context of clustered observations for an object of mcglm class.

Usage

1
mc_robust_std(object, id)

Arguments

object

an object of mcglm class.

id

a vector which identifies the clusters or subject indexes. The length and order of id should be the same as the number of observations. Data are assumed to be sorted so that observations on a cluster are contiguous rows for all entities in the formula.

Value

A variance-covariance matrix. Note that the function assumes that the data are in the correct order.

Author(s)

Wagner Hugo Bonat, wbonat@ufpr.br

Source

Nuamah, I. F. and Qu, Y. and Aminu, S. B. (1996). A SAS macro for stepwise correlated binary regression. Computer Methods and Programs in Biomedicine 49, 199–210.

See Also

mc_bias_correct_std.


wbonat/mcglm documentation built on June 23, 2020, 11:06 a.m.