cjvanlissa
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R/MetaForest.R
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| 63 | 63 | #' are thus included in the same cross-validation sample. Then, two random |
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| 64 | 64 | #' forests are grown on these cross-validation samples, and for each random |
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| 65 | 65 | #' forest, the other sample is used to calculate prediction error and variable |
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| 66 | - | #' importance (see \href{http://doi.org/10.1007/s11634-016-0276-4}{Janitza, |
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| 66 | + | #' importance (see \href{https://doi.org/10.1007/s11634-016-0276-4}{Janitza, |
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| 67 | 67 | #' Celik, & Boulesteix, 2016}). |
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| 68 | 68 | #' @import stats |
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| 69 | 69 | #' @import ranger |
| Files | Coverage |
|---|---|
| R | 51.43% |
| Project Totals (20 files) | 51.43% |
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