Package: ParallelDSM
Type: Package
Title: Parallel Digital Soil Mapping using Machine Learning
Version: 0.3.1
Authors@R: 
    c(
    person("Xiaodong","Song",role = c("aut"),email = "xdsong@issas.ac.cn"),
    person("Gaoqiang","Ge",role = c("aut","cre"),email = "gaoqiangge2020@163.com"),
    person("Jun","Zhu",role = c("aut")),
    person("Ganlin","Zhang",role = c("aut"))
    )
Description: 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.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), snowfall, raster, sp
Imports: methods, pryr, utils, caret, geoR, gstat, quantregForest,
        randomForest, stringr, rgdal, stats,
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2021-06-25 05:49:57 UTC; guaokuangsheng
Author: Xiaodong Song [aut],
  Gaoqiang Ge [aut, cre],
  Jun Zhu [aut],
  Ganlin Zhang [aut]
Maintainer: Gaoqiang Ge <gaoqiangge2020@163.com>
Repository: CRAN
Date/Publication: 2021-06-25 06:10:02 UTC
Built: R 4.0.5; ; 2022-04-21 09:30:22 UTC; windows
