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: 2026-10-04 12:21:35 UTC; root
Author: Pengyuan Chen [aut, cre], Christopher Clingensmith [aut],
        Chenglong Ye [aut], Sabine Grunwald [aut], Katsutoshi Mizuta
        [aut]
Maintainer: Pengyuan Chen <pch276@uky.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-10-08 19:40:21 UTC
RemoteUrl: https://github.com/cran/MLSP
RemoteRef: HEAD
RemoteSha: 42df8094763053077dcb34893acc5bed2c3b3f5b