The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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: | 2.2.3 |
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: | 2024-02-16 |
DOI: | 10.32614/CRAN.package.resemble |
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 |
Reference manual: | resemble.pdf |
Vignettes: |
Modelling complex spectral data with the resemble package |
Package source: | resemble_2.2.3.tar.gz |
Windows binaries: | r-devel: resemble_2.2.3.zip, r-release: resemble_2.2.3.zip, r-oldrel: resemble_2.2.3.zip |
macOS binaries: | r-release (arm64): resemble_2.2.3.tgz, r-oldrel (arm64): resemble_2.2.3.tgz, r-release (x86_64): resemble_2.2.3.tgz, r-oldrel (x86_64): resemble_2.2.3.tgz |
Old sources: | resemble archive |
Please use the canonical form https://CRAN.R-project.org/package=resemble to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.