Applies the CREST climate reconstruction method. It can be used using the calibration data that can be obtained through the package or by importing private data. An ensemble of graphical outputs were designed to facilitate the use of the package and the interpretation of the results. More information can be obtained from Chevalier (2022) <doi:10.5194/cp-18-821-2022>.
Version: | 1.2.0 |
Depends: | R (≥ 2.10) |
Imports: | clipr, DBI, methods, openxlsx, plot3D, plyr, raster, rgdal, rgeos, RPostgres, RSQLite, scales, sp, stringr, viridis |
Suggests: | knitr, rmarkdown, pals |
Published: | 2022-08-30 |
Author: | Manuel Chevalier [aut, cre] |
Maintainer: | Manuel Chevalier <chevalier.manuel at gmail.com> |
BugReports: | https://github.com/mchevalier2/crestr/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/mchevalier2/crestr, https://mchevalier2.github.io/crestr/index.html |
NeedsCompilation: | no |
Language: | en-us |
Citation: | crestr citation info |
Materials: | README NEWS |
CRAN checks: | crestr results |
Reference manual: | crestr.pdf |
Vignettes: |
Calibration data for CREST Get started Formatting the data for crestr A bit of Theory using-gbif4crest |
Package source: | crestr_1.2.0.tar.gz |
Windows binaries: | r-devel: crestr_1.2.0.zip, r-release: crestr_1.2.0.zip, r-oldrel: crestr_1.2.0.zip |
macOS binaries: | r-release (arm64): crestr_1.2.0.tgz, r-oldrel (arm64): crestr_1.2.0.tgz, r-release (x86_64): crestr_1.2.0.tgz, r-oldrel (x86_64): crestr_1.2.0.tgz |
Old sources: | crestr archive |
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