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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.
| Version: | 1.0.1 |
| Depends: | R (≥ 2.14.0) |
| Imports: | stats, graphics, parallel, survival |
| Published: | 2019-04-20 |
| Author: | Di Ran, Chiu-Hsieh Hsu, Mandi Yu |
| Maintainer: | Chiu-Hsieh Hsu <pablo1639 at gmail.com> |
| License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | NNMIS results |
| Reference manual: | NNMIS.pdf |
| Package source: | NNMIS_1.0.1.tar.gz |
| Windows binaries: | r-devel: NNMIS_1.0.1.zip, r-release: NNMIS_1.0.1.zip, r-oldrel: NNMIS_1.0.1.zip |
| macOS binaries: | r-release (arm64): NNMIS_1.0.1.tgz, r-oldrel (arm64): NNMIS_1.0.1.tgz, r-release (x86_64): NNMIS_1.0.1.tgz, r-oldrel (x86_64): NNMIS_1.0.1.tgz |
| Old sources: | NNMIS archive |
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These binaries (installable software) and packages are in development.
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