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ParallelDSM
View on CRAN: Click
here
Download and install ParallelDSM package within the R console
Install from CRAN:
install.packages("ParallelDSM")
Install from Github:
library("remotes")
install_github("cran/ParallelDSM")
Install by package version:
library("remotes")
install_version("ParallelDSM", "0.3.7")
Attach the package and use:
library("ParallelDSM")
Maintained by
Peicong Tang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
First Published: 2020-11-04
Latest Update: 2022-11-16
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.
How to cite:
Peicong Tang (2020). ParallelDSM: Parallel Digital Soil Mapping using Machine Learning. R package version 0.3.7, https://cran.r-project.org/web/packages/ParallelDSM. Accessed 19 Apr. 2025.
Previous versions and publish date:
Other packages that cited ParallelDSM R package
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Other R packages that ParallelDSM depends,
imports, suggests or enhances
Functions, R codes and Examples using
the ParallelDSM R package
Some associated functions: CVfunction . DataProcess . GetPredictorSubset . Insepect_MLR . Insepect_QRF . Insepect_RF . InsepectionVariable . MergingTiles . NormalizeData . ParallelComputing . ParallelInit . ParallelInit_Test . df.dem . df.input . df.mrrtf . df.plancur . df.procur . df.twi . smalltesttoy .
Some associated R codes: CVfunction.R . GetPredictorSubset.R . InsepectionVariable.R . MergingTiles.R . ParallelInit.R . data.R . smalltesttoy.R . Full ParallelDSM package functions and examples
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