Package: qif
Title: Quadratic Inference Function
Version: 1.5
Date: 2019-7-2
Authors@R: c(
    person(given = "Zhichang", family = "Jiang", role = c("aut")),
    person(given = "Peter", family = "Song", role = c("aut"), email = "pxsong@umich.edu"),
    person(given = "Michael", family = "Kleinsasser", role = c("cre"), email = "mkleinsa@umich.edu"))
Depends: R (>= 3.5.0)
Description: 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>.
Imports: MASS
License: GPL-2
Packaged: 2026-05-31 09:37:19 UTC; root
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/umich-biostatistics/qif/issues
Roxygen: list(markdown = TRUE)
RoxygenNote: 6.1.1
Repository: https://umich-biostatistics.r-universe.dev
Date/Publication: 2019-07-18 15:51:27 UTC
RemoteUrl: https://github.com/umich-biostatistics/qif
RemoteRef: HEAD
RemoteSha: 59fac882807ffe9b38fe1573b6aa53e516c92341
NeedsCompilation: yes
Author: Zhichang Jiang [aut],
  Peter Song [aut],
  Michael Kleinsasser [cre]
Maintainer: Michael Kleinsasser <mkleinsa@umich.edu>