Package: NNMIS 1.0.1
Chiu-Hsieh Hsu
NNMIS: Nearest Neighbor Based Multiple Imputation for Survival Data with Missing Covariates
Imputation for both missing covariates and censored observations (optional) for survival data with missing covariates by the nearest neighbor based multiple imputation algorithm as described in Hsu et al. (2006) <doi:10.1002/sim.2452>, and Hsu and Yu (2018) <doi:10.1177/0962280218772592>. Note that the current version can only impute for a situation with one missing covariate.
Authors:
NNMIS_1.0.1.tar.gz
NNMIS_1.0.1.tar.gz(r-4.5-noble)NNMIS_1.0.1.tar.gz(r-4.4-noble)
NNMIS_1.0.1.tgz(r-4.4-emscripten)NNMIS_1.0.1.tgz(r-4.3-emscripten)
NNMIS.pdf |NNMIS.html✨
NNMIS/json (API)
| # Install 'NNMIS' in R: |
| install.packages('NNMIS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
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:38d0880b95. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 27 2024 |
| R-4.5-linux | OK | Aug 27 2024 |
Exports:coxph.poolkm.poolnnmiNNMISplotKM
