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>.
| Version: |
2.2.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
foreach, iterators, Rcpp (≥ 1.0.3), mathjaxr (≥ 1.0), magrittr (≥ 1.5.0), lifecycle (≥ 0.2.0), data.table (≥
1.9.8) |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
prospectr, parallel, doParallel, testthat, formatR, rmarkdown, bookdown, knitr |
| Published: |
2022-08-31 |
| Author: |
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] |
| Maintainer: |
Leonardo Ramirez-Lopez <ramirez.lopez.leo at gmail.com> |
| BugReports: |
https://github.com/l-ramirez-lopez/resemble/issues |
| License: |
MIT + file LICENSE |
| URL: |
http://l-ramirez-lopez.github.io/resemble/ |
| NeedsCompilation: |
yes |
| Citation: |
resemble citation info |
| Materials: |
README NEWS |
| CRAN checks: |
resemble results |