Package: MLSP
Type: Package
Title: Machine Learning Models for Soil Properties
Version: 0.1.0
Authors@R: 
    c(
        person("Pengyuan", "Chen",
               role = c("aut", "cre"),
               email = "pch276@uky.edu"),
        person("Christopher", "Clingensmith",
               role = "aut",
               email = "toshi.m@uky.edu"),
        person("Chenglong", "Ye",
               role = "aut",
               email = "chenglong.ye@uky.edu"),
        person("Sabine", "Grunwald",
               role = "aut",
               email = "toshi.m@uky.edu"),
        person("Katsutoshi", "Mizuta",
               role = "aut",
               email = "toshi.m@uky.edu")
    )
Description: 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.
License: GPL-2
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: gsignal, pls, glmnet, Cubist, randomForest
NeedsCompilation: no
Packaged: 2025-10-03 19:01:09 UTC; pch276
Author: Pengyuan Chen [aut, cre],
  Christopher Clingensmith [aut],
  Chenglong Ye [aut],
  Sabine Grunwald [aut],
  Katsutoshi Mizuta [aut]
Maintainer: Pengyuan Chen <pch276@uky.edu>
Repository: CRAN
Date/Publication: 2025-10-08 19:40:21 UTC
Built: R 4.6.0; ; 2026-04-28 06:59:30 UTC; unix
