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:
qif_1.5.tar.gz
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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/umich-biostatistics/qif/issues
Last updated 5 years agofrom:dc5f7ea752. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 01 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 01 2024 |
Exports:qif
Dependencies:MASS
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Seizure Counts for Epileptics | epil |
| MS data | exacerb |
| Print Function for qif Object | print.qif |
| Print the Summary of qif Object | print.summary.qif |
| Function to Solve a Quadratic Inference Function Model | qif |
| Summary of a qif Object | summary.qif |
