confcons: Confidence and Consistency of Predictive Distribution Models

Calculate confidence and consistency that measure the goodness-of-fit and transferability of predictive/potential distribution models (including species distribution models) as described by Somodi & Bede-Fazekas et al. (2024) <doi:10.1016/j.ecolmodel.2024.110667>.

Version: 0.3.1
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), mockery, vctrs, withr, ROCR, covr, terra, sf, blockCV (≥ 3.1-3), ggplot2, ranger
Published: 2024-03-17
Author: Ákos Bede-Fazekas ORCID iD [aut, cre], Imelda Somodi ORCID iD [aut], Zoltán Botta-Dukát ORCID iD [ctb]
Maintainer: Ákos Bede-Fazekas <bfakos at ecolres.hu>
BugReports: https://github.com/bfakos/confcons/issues
License: GPL (≥ 3)
URL: https://github.com/bfakos/confcons, https://bfakos.github.io/confcons/
NeedsCompilation: no
Citation: confcons citation info
Materials: README NEWS
CRAN checks: confcons results

Documentation:

Reference manual: confcons.pdf
Vignettes: Introduction to package 'confcons'

Downloads:

Package source: confcons_0.3.1.tar.gz
Windows binaries: r-prerel: confcons_0.3.1.zip, r-release: confcons_0.3.1.zip, r-oldrel: confcons_0.3.1.zip
macOS binaries: r-prerel (arm64): confcons_0.3.1.tgz, r-release (arm64): confcons_0.3.1.tgz, r-oldrel (arm64): confcons_0.3.1.tgz, r-prerel (x86_64): confcons_0.3.1.tgz, r-release (x86_64): confcons_0.3.1.tgz

Linking:

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