Package: resemble 2.2.2
resemble: Memory-Based Learning in Spectral Chemometrics
Functions for dissimilarity analysis and memory-based learning (MBL, a.k.a local modeling) in complex spectral data sets. Most of these functions are based on the methods presented in Ramirez-Lopez et al. (2013) <doi:10.1016/j.geoderma.2012.12.014>.
Authors:
resemble_2.2.2.tar.gz
resemble_2.2.2.zip(r-4.5)resemble_2.2.2.zip(r-4.4)resemble_2.2.2.zip(r-4.3)
resemble_2.2.2.tgz(r-4.4-x86_64)resemble_2.2.2.tgz(r-4.4-arm64)resemble_2.2.2.tgz(r-4.3-x86_64)resemble_2.2.2.tgz(r-4.3-arm64)
resemble_2.2.2.tar.gz(r-4.5-noble)resemble_2.2.2.tar.gz(r-4.4-noble)
resemble_2.2.2.tgz(r-4.4-emscripten)resemble_2.2.2.tgz(r-4.3-emscripten)
resemble.pdf |resemble.html✨
resemble/json (API)
NEWS
# Install 'resemble' in R: |
install.packages('resemble', repos = c('https://l-ramirez-lopez.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/l-ramirez-lopez/resemble/issues
chemoinformaticschemometricsinfrared-spectroscopylazy-learninglocal-regressionmachine-learningmemory-based-learningnirpedometricssoil-spectroscopyspectral-dataspectral-libraryspectroscopy
Last updated 2 years agofrom:929f60aab0. Checks:OK: 4 NOTE: 5. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 21 2024 |
R-4.5-win-x86_64 | NOTE | Nov 21 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 21 2024 |
R-4.4-win-x86_64 | NOTE | Nov 21 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 21 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 21 2024 |
R-4.3-win-x86_64 | OK | Nov 21 2024 |
R-4.3-mac-x86_64 | OK | Nov 21 2024 |
R-4.3-mac-aarch64 | OK | Nov 21 2024 |
Exports:cor_dissdissimilarityf_dissget_predictionslocal_fit_gprlocal_fit_plslocal_fit_waplsmblmbl_controlortho_dissortho_projectionpc_projectionpls_projectionsearch_neighborssidsim_eval
Dependencies:clicodetoolsdata.tableforeachglueiteratorslifecyclemagrittrmathjaxrRcppRcppArmadillorlang