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Fits look-up tables by filling entries with the mean or median values of observations fall in partitions of the feature space. Partitions can be determined by user of the package using input argument feature.boundaries, and dimensions of the feature space can be any combination of continuous and categorical features provided by the data set. A Predict function directly fetches corresponding entry value, and a default value is defined as the mean or median of all available observations. The table and other components are represented using the S4 class lookupTable.
| Version: | 0.1 |
| Depends: | data.table |
| Imports: | dplyr, methods |
| Suggests: | testthat |
| Published: | 2015-08-28 |
| DOI: | 10.32614/CRAN.package.lookupTable |
| Author: | Enzo Jia [aut, cre], Marc Maier [aut] |
| Maintainer: | Enzo Jia <enzo.jia at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | lookupTable results |
| Reference manual: | lookupTable.pdf |
| Package source: | lookupTable_0.1.tar.gz |
| Windows binaries: | r-devel: lookupTable_0.1.zip, r-release: lookupTable_0.1.zip, r-oldrel: lookupTable_0.1.zip |
| macOS binaries: | r-release (arm64): lookupTable_0.1.tgz, r-oldrel (arm64): lookupTable_0.1.tgz, r-release (x86_64): lookupTable_0.1.tgz, r-oldrel (x86_64): lookupTable_0.1.tgz |
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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.