Package: augSIMEX 3.7.4
Qihuang Zhang
augSIMEX: Analysis of Data with Mixed Measurement Error and Misclassification in Covariates
Implementation of the augmented Simulation-Extrapolation (SIMEX) algorithm proposed by Yi et al. (2015) <doi:10.1080/01621459.2014.922777> for analyzing the data with mixed measurement error and misclassification. The main function provides a similar summary output as that of glm() function. Both parametric and empirical SIMEX are considered in the package.
Authors:
augSIMEX_3.7.4.tar.gz
augSIMEX_3.7.4.tar.gz(r-4.5-noble)augSIMEX_3.7.4.tar.gz(r-4.4-noble)
augSIMEX_3.7.4.tgz(r-4.4-emscripten)augSIMEX_3.7.4.tgz(r-4.3-emscripten)
augSIMEX.pdf |augSIMEX.html✨
augSIMEX/json (API)
| # Install 'augSIMEX' in R: |
| install.packages('augSIMEX', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- GeneRepeat - Example data for univariate error-prone covariates in repeated measurements case
- GeneUni - Example of genetic data for univariate error-prone covariates
- ToyMult - Toy example data for multivariate error-prone covariates
- ToyRepeat - Toy example data for univariate error-prone covariates in repeated measurements case
- ToyUni - Toy example data for univariate error-prone covariates
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:e990a81bdb. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 15 2024 |
| R-4.5-linux-x86_64 | OK | Oct 15 2024 |
Exports:augSIMEXcoef.augSIMEXglmscorelogLik.augSIMEXplot.augSIMEXpredict.augSIMEXresiduals.augSIMEXsummary.augSIMEXvcov.augSIMEX
