Machine Learning Models for Soil Properties

Creates a spectroscopy guideline with a highly accurate prediction model for soil properties using machine learning or deep learning algorithms such as LASSO, Random Forest, Cubist, etc., and decide which algorithm generates the best model for different soil types.


Reference manual

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install.packages("MLSP")

0.1.0 by Pengyuan Chen, a year ago


Browse source code at https://github.com/cran/MLSP


Authors: Pengyuan Chen [aut, cre] , Christopher Clingensmith [aut] , Chenglong Ye [aut] , Sabine Grunwald [aut] , Katsutoshi Mizuta [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports gsignal, pls, glmnet, Cubist, randomForest


See at CRAN