Package: MLSP 0.1.0

Pengyuan Chen

MLSP: 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.

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

MLSP_0.1.0.tar.gz
MLSP_0.1.0.zip(r-4.7-any)MLSP_0.1.0.zip(r-4.6-any)
MLSP_0.1.0.tar.gz(r-4.7-any)MLSP_0.1.0.tar.gz(r-4.6-any)
MLSP_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MLSP/json (API)

# Install 'MLSP' in R:
install.packages('MLSP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 225 downloads 11 exports 25 dependencies

Last updated from:42df809476. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK126
source / vignettesOK130
linux-releaseOK112
windows-develOK65
windows-releaseOK93
wasm-releaseOK93

Exports:colsMeancubist_preprocesslasso_preprocessmerge_of_lab_and_spectrumml_fmsd.comppcr_preprocessplsr_preprocessrawresultsrf_preprocess

Dependencies:clicodetoolsCubistforeachglmnetgluegsignaliteratorslatticelifecyclemagrittrMatrixplsplyrpracmarandomForestRcppRcppEigenreshape2rlangshapestringistringrsurvivalvctrs