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.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://cran.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

2.18 score 1 packages 205 downloads 1 exports 1 dependencies

Last updated from:34fc271803. Checks:9 OK, 1 WARNING. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK96
linux-devel-x86_64OK98
source / vignettesOK141
linux-release-arm64OK99
linux-release-x86_64OK119
windows-devel-arm64OK202
windows-devel-x86_64OK110
windows-release-arm64WARNING197
windows-release-x86_64OK71
wasm-releaseOK250

Exports:qif

Dependencies:MASS