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:
MLSP_0.1.0.tar.gz
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✨
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:42df809476. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 126 | ||
| source / vignettes | OK | 170 | ||
| linux-release-x86_64 | OK | 128 | ||
| wasm-release | OK | 96 |
Exports:colsMeancubist_preprocesslasso_preprocessmerge_of_lab_and_spectrumml_fmsd.comppcr_preprocessplsr_preprocessrawresultsrf_preprocess
Dependencies:clicodetoolsCubistforeachglmnetgluegsignaliteratorslatticelifecyclemagrittrMatrixplsplyrpracmarandomForestRcppRcppEigenreshape2rlangshapestringistringrsurvivalvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute Row-wise Means for Groups of Columns | colsMean |
| Merge Soil Laboratory Data with Spectral Data | merge_of_lab_and_spectrum |
| Machine Learning Function for Soil Spectral Data | ml_f |
| Compute Model Evaluation Metrics | msd.comp |
| Aggregate VNIR Spectra by Columns | raw |
| Soil and Spectral Data Preprocessing for Model Training | cubist_preprocess lasso_preprocess pcr_preprocess plsr_preprocess results rf_preprocess soil_preprocess |