Package: qif 1.5.1

Michael Kleinsasser

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>.

Authors:Zhichang Jiang [aut], Peter Song [aut], Michael Kleinsasser [cre]

qif_1.5.1.tar.gz
qif_1.5.1.zip(r-4.7)qif_1.5.1.zip(r-4.6)qif_1.5.1.zip(r-4.5)
qif_1.5.1.tgz(r-4.6-x86_64)qif_1.5.1.tgz(r-4.6-arm64)qif_1.5.1.tgz(r-4.5-x86_64)qif_1.5.1.tgz(r-4.5-arm64)
qif_1.5.1.tar.gz(r-4.7-arm64)qif_1.5.1.tar.gz(r-4.7-x86_64)qif_1.5.1.tar.gz(r-4.6-arm64)qif_1.5.1.tar.gz(r-4.6-x86_64)
qif_1.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
qif/json (API)

# Install 'qif' in R:
install.packages('qif', repos = c('https://umich-biostatistics.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/umich-biostatistics/qif/issues

Uses libs:
  • openblas– Optimized BLAS
Datasets:

On CRAN:

Conda:

openblas

3.18 score 1 packages 2 scripts 247 downloads 1 exports 1 dependencies

Last updated from:e55bdc69c6. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK175
linux-devel-x86_64OK137
source / vignettesOK197
linux-release-arm64OK182
linux-release-x86_64OK153
macos-release-arm64OK99
macos-release-x86_64OK221
macos-oldrel-arm64OK78
macos-oldrel-x86_64OK284
windows-develOK87
windows-releaseOK80
windows-oldrelOK95
wasm-releaseOK111

Exports:qif

Dependencies:MASS