Nothing
misaem: Linear Regression and Logistic Regression with Missing Covariates
Estimate parameters of linear regression and logistic regression with missing covariates with missing data, perform model selection and prediction, using EM-type algorithms. Jiang W., Josse J., Lavielle M., TraumaBase Group (2020) <doi:10.1016/j.csda.2019.106907>.
Browse package contents
Package details |
|
|---|---|
| Author | Wei Jiang [aut], Pavlo Mozharovskyi [ctb], Imke Mayer [ctb], Christophe Muller [ctb], Julie Josse [aut, cre] |
| Maintainer | Julie Josse <julie.josse@inria.fr> |
| License | GPL-3 |
| Version | 1.1.0 |
| URL | https://github.com/julierennes/misaem |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the misaem package in your browser
Any scripts or data that you put into this service are public.
