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r-qif

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Developed to perform the estimation and inference for regression coefficient parameters in longitudinal marginal models using the method of quadratic inference functions. Like generalized estimating equations, this method is also a quasi-likelihood inference method. It has been showed that the method gives consistent estimators of the regression coefficients even if the correlation structure is misspecified, and it is more efficient than GEE when the correlation structure is misspecified. Based on Qu, A., Lindsay, B.G. and Li, B. (2000) <doi:10.1093/biomet/87.4.823>.

Installation

To install this package, run one of the following:

Conda
$conda install r_test::r-qif

Usage Tracking

1.5
1 / 8 versions selected
Total downloads: 0

About

Summary

Developed to perform the estimation and inference for regression coefficient parameters in longitudinal marginal models using the method of quadratic inference functions. Like generalized estimating equations, this method is also a quasi-likelihood inference method. It has been showed that the method gives consistent estimators of the regression coefficients even if the correlation structure is misspecified, and it is more efficient than GEE when the correlation structure is misspecified. Based on Qu, A., Lindsay, B.G. and Li, B. (2000) <doi:10.1093/biomet/87.4.823>.

Information Last Updated

Apr 22, 2025 at 15:32

License

GPL-2

Total Downloads

3

Platforms

Linux 64 Version: 1.5
macOS 64 Version: 1.5
Win 64 Version: 1.5