# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "MLSP" in publications use:'
type: software
license: GPL-2.0-only
title: 'MLSP: Machine Learning Models for Soil Properties'
version: 0.1.0
doi: 10.32614/CRAN.package.MLSP
abstract: 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.
authors:
- family-names: Chen
  given-names: Pengyuan
  email: pch276@uky.edu
- family-names: Clingensmith
  given-names: Christopher
  email: toshi.m@uky.edu
- family-names: Ye
  given-names: Chenglong
  email: chenglong.ye@uky.edu
- family-names: Grunwald
  given-names: Sabine
  email: toshi.m@uky.edu
- family-names: Mizuta
  given-names: Katsutoshi
  email: toshi.m@uky.edu
repository: https://cran.r-universe.dev
commit: 42df8094763053077dcb34893acc5bed2c3b3f5b
date-released: '2025-10-08'
contact:
- family-names: Chen
  given-names: Pengyuan
  email: pch276@uky.edu