qif: Quadratic Inference Function

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>.

Version:	1.5
Depends:	R (≥ 3.5.0)
Imports:	MASS
Published:	2019-07-20
DOI:	10.32614/CRAN.package.qif
Author:	Zhichang Jiang [aut], Peter Song [aut], Michael Kleinsasser [cre]
Maintainer:	Michael Kleinsasser <mkleinsa at umich.edu>
BugReports:	https://github.com/umich-biostatistics/qif/issues
License:	GPL-2
NeedsCompilation:	yes
Materials:	README
CRAN checks:	qif results

Documentation:

Reference manual:

qif.html , qif.pdf

Downloads:

Package source:	qif_1.5.tar.gz
Windows binaries:	r-devel: qif_1.5.zip, r-release: qif_1.5.zip, r-oldrel: qif_1.5.zip
macOS binaries:	r-release (arm64): qif_1.5.tgz, r-oldrel (arm64): qif_1.5.tgz, r-release (x86_64): qif_1.5.tgz, r-oldrel (x86_64): qif_1.5.tgz

Reverse dependencies:

Reverse imports:

vsmi

Linking:

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