Parallel computing, multi-core CPU is used to efficiently compute and process multi-dimensional soil data.This package includes the parallelized Quantile Regression Forests algorithm for Digital Soil Mapping and is mainly dependent on the package 'quantregForest' and 'snowfall'. Detailed references to the R package and the web site are described in the methods, as detailed in the method documentation.
Version: | 0.1 |
Depends: | R (≥ 3.0.1), snowfall, raster |
Imports: | methods, utils, caret, geoR, gstat, quantregForest, randomForest, rgdal, sp |
Published: | 2020-11-04 |
Author: | Xiaodong Song [aut], Gaoqiang Ge [aut, cre], Jun Zhu [aut], Ganlin Zhang [ctb] |
Maintainer: | Gaoqiang Ge <gaoqiangge2020 at 163.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | ParallelDSM results |
Reference manual: | ParallelDSM.pdf |
Package source: | ParallelDSM_0.1.tar.gz |
Windows binaries: | r-devel: ParallelDSM_0.1.zip, r-release: ParallelDSM_0.1.zip, r-oldrel: ParallelDSM_0.1.zip |
macOS binaries: | r-release: ParallelDSM_0.1.tgz, r-oldrel: ParallelDSM_0.1.tgz |
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