Package: qif 1.5

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.tar.gz
qif_1.5.tar.gz(r-4.7-arm64)qif_1.5.tar.gz(r-4.7-x86_64)qif_1.5.tar.gz(r-4.6-arm64)qif_1.5.tar.gz(r-4.6-x86_64)
qif_1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
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 2 scripts 150 downloads 1 exports 1 dependencies

Last updated from:dc5f7ea752. Checks:4 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE107
linux-devel-x86_64NOTE99
source / vignettesOK160
linux-release-arm64NOTE98
linux-release-x86_64NOTE92
wasm-releaseOK94

Exports:qif

Dependencies:MASS