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.zip(r-4.5)qif_1.5.zip(r-4.4)qif_1.5.zip(r-4.3)
qif_1.5.tgz(r-4.5-x86_64)qif_1.5.tgz(r-4.5-arm64)qif_1.5.tgz(r-4.4-x86_64)qif_1.5.tgz(r-4.4-arm64)qif_1.5.tgz(r-4.3-x86_64)qif_1.5.tgz(r-4.3-arm64)
qif_1.5.tar.gz(r-4.5-noble)qif_1.5.tar.gz(r-4.4-noble)
qif_1.5.tgz(r-4.4-emscripten)qif_1.5.tgz(r-4.3-emscripten)
qif.pdf |qif.html✨
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:

fortranopenblas

3.18 score 1 packages 2 scripts 179 downloads 1 exports 1 dependencies

Last updated 6 years agofrom:59fac88280. Checks:4 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 02 2025
R-4.5-win-x86_64NOTEFeb 02 2025
R-4.5-mac-x86_64NOTEFeb 02 2025
R-4.5-mac-aarch64NOTEFeb 02 2025
R-4.5-linux-x86_64NOTEFeb 02 2025
R-4.4-win-x86_64NOTEFeb 02 2025
R-4.4-mac-x86_64NOTEFeb 02 2025
R-4.4-mac-aarch64NOTEFeb 02 2025
R-4.3-win-x86_64OKFeb 02 2025
R-4.3-mac-x86_64OKFeb 02 2025
R-4.3-mac-aarch64OKFeb 02 2025

Exports:qif

Dependencies:MASS