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Multi-data type subtyping, which is data type agnostic and accepts missing data. Subtyping is performed using intermediary assessments created with autoencoders and similarity calculations.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.2.3) |
| Imports: | ConsensusClusterPlus, cluster (≥ 1.14.4), keras, tensorflow, philentropy |
| Suggests: | knitr, rmarkdown |
| Published: | 2021-04-22 |
| DOI: | 10.32614/CRAN.package.iSubGen |
| Author: | Natalie Fox |
| Maintainer: | Paul C Boutros <pboutros at mednet.ucla.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | iSubGen results |
| Reference manual: | iSubGen.pdf |
| Vignettes: |
Guide for using iSubGen |
| Package source: | iSubGen_1.0.1.tar.gz |
| Windows binaries: | r-devel: iSubGen_1.0.1.zip, r-release: iSubGen_1.0.1.zip, r-oldrel: iSubGen_1.0.1.zip |
| macOS binaries: | r-release (arm64): iSubGen_1.0.1.tgz, r-oldrel (arm64): iSubGen_1.0.1.tgz, r-release (x86_64): iSubGen_1.0.1.tgz, r-oldrel (x86_64): iSubGen_1.0.1.tgz |
| Old sources: | iSubGen archive |
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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.
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