Package: resemble 2.2.3

Leonardo Ramirez-Lopez

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:Leonardo Ramirez-Lopez [aut, cre], Antoine Stevens [aut, ctb], Claudio Orellano [ctb], Raphael Viscarra Rossel [ctb], Zefang Shen [ctb], Craig Lobsey [ctb], Alex Wadoux [ctb]

resemble_2.2.3.tar.gz
resemble_2.2.3.tar.gz(r-4.5-noble)resemble_2.2.3.tar.gz(r-4.4-noble)
resemble_2.2.3.tgz(r-4.4-emscripten)resemble_2.2.3.tgz(r-4.3-emscripten)
resemble.pdf |resemble.html✨
resemble/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/l-ramirez-lopez/resemble/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

openblascppopenmp

2.70 score 1 stars 27 scripts 349 downloads 16 exports 12 dependencies

Last updated 11 months agofrom:12b7f62782. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 13 2024
R-4.5-linux-x86_64NOTEDec 13 2024

Exports:cor_dissdissimilarityf_dissget_predictionslocal_fit_gprlocal_fit_plslocal_fit_waplsmblmbl_controlortho_dissortho_projectionpc_projectionpls_projectionsearch_neighborssidsim_eval

Dependencies:clicodetoolsdata.tableforeachglueiteratorslifecyclemagrittrmathjaxrRcppRcppArmadillorlang

Modelling complex spectral data with the resemble package

Leonardo Ramirez-Lopez and Alexandre M.J.-C. Wadoux

Rendered fromresemble.Rmdusingknitr::rmarkdownon Dec 13 2024.

Last update: 2024-02-17
Started: 2020-11-09