The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Imputes missing biomarker measurements in a wide longitudinal serum panel with gradient-boosted decision trees, groups the completed panel by Bayesian consensus clustering, and compares the resulting patient subgroups by Kaplan-Meier, log-rank and Cox analysis. The imputation learner is described in Ke et al. (2017) <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision-tree> and the clustering method in Lock and Dunson (2013) <doi:10.1093/bioinformatics/btt425>. Imputed values are conditional-mean predictions, so the procedure is a machine-learning single imputation; the completions carry no between-imputation variance and must not be pooled by Rubin's rules. Two panels from Gene Expression Omnibus accession 'GSE65622' are included, one for each survival endpoint.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | lightgbm (≥ 3.3.0), data.table, survival, stats, utils |
| Suggests: | BCClong, testthat (≥ 3.0.0) |
| Published: | 2026-09-30 |
| DOI: | 10.32614/CRAN.package.MIML |
| Author: | Neelesh Kumar [aut, cre], Atanu Bhattacharjee [aut], Gajendra K. Vishwakarma [aut], Tanmoy Majumdar [aut] |
| Maintainer: | Neelesh Kumar <neelesh2302 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | MIML results |
| Reference manual: | MIML.html , MIML.pdf |
| Package source: | MIML_0.1.0.tar.gz |
| Windows binaries: | r-devel: MIML_0.1.0.zip, r-release: not available, r-oldrel: MIML_0.1.0.zip |
| macOS binaries: | r-release (arm64): MIML_0.1.0.tgz, r-oldrel (arm64): MIML_0.1.0.tgz, r-release (x86_64): MIML_0.1.0.tgz, r-oldrel (x86_64): MIML_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=MIML to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.