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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-devel: confcons_0.3.1.zip, r-release: confcons_0.3.1.zip, r-oldrel: confcons_0.3.1.zip
macOS binaries: r-release (arm64): confcons_0.3.1.tgz, r-oldrel (arm64): confcons_0.3.1.tgz, r-release (x86_64): confcons_0.3.1.tgz, r-oldrel (x86_64): confcons_0.3.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=confcons 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.
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