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Heteroskedasticity Robust Testing

Installation

About

Functions for testing affine hypotheses on the regression coefficient vector in regression models with heteroskedastic errors: (i) a function for computing various test statistics (in particular using HC0-HC4 covariance estimators based on unrestricted or restricted residuals); (ii) a function for numerically approximating the size of a test based on such test statistics and a user-supplied critical value; and, most importantly, (iii) a function for determining size-controlling critical values for such test statistics and a user-supplied significance level (also incorporating a check of conditions under which such a size-controlling critical value exists). The three functions are based on results in Poetscher and Preinerstorfer (2021) "Valid Heteroskedasticity Robust Testing" .

Citation hrt citation info

Key Metrics

Version 1.0.1
Published 2021-09-08 965 days ago
Needs compilation? yes
License GPL-2
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Maintainer

Maintainer

David Preinerstorfer

david.preinerstorfer@ulb.be

Authors

David Preinerstorfer

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

hrt archive

Imports

methods
stats
Rcpp
CompQuadForm

LinkingTo

Rcpp
RcppEigen