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-x86_64)qif_1.5.1.zip(r-4.7-arm64)qif_1.5.1.zip(r-4.6-x86_64)qif_1.5.1.zip(r-4.6-arm64)qif_1.5.1.zip(r-4.5-x86_64)
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

3.48 score 1 packages 2 scripts 282 downloads 1 exports 1 dependencies

Last updated from:50ba857182. Checks:14 OK, 1 WARNING. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK94
linux-devel-x86_64OK107
source / vignettesOK276
linux-release-arm64OK94
linux-release-x86_64OK94
macos-release-arm64OK156
macos-release-x86_64OK277
macos-oldrel-arm64OK189
macos-oldrel-x86_64OK291
windows-devel-arm64OK327
windows-devel-x86_64OK158
windows-release-arm64WARNING326
windows-release-x86_64OK67
windows-oldrel-x86_64OK62
wasm-releaseOK106

Exports:qif

Dependencies:MASS