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ENMeval  

Automated Tuning and Evaluations of Ecological Niche Models
View on CRAN: Click here


Download and install ENMeval package within the R console
Install from CRAN:
install.packages("ENMeval")

Install from Github:
library("remotes")
install_github("cran/ENMeval")

Install by package version:
library("remotes")
install_version("ENMeval", "2.0.5")



Attach the package and use:
library("ENMeval")
Maintained by
Jamie M. Kass
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-08-26
Latest Update: 2023-01-09
Description:
Runs ecological niche models over all combinations of user-defined settings (i.e., tuning), performs cross validation to evaluate models, and returns data tables to aid in selection of optimal model settings that balance goodness-of-fit and model complexity. Also has functions to partition data spatially (or not) for cross validation, to plot multiple visualizations of results, to run null models to estimate significance and effect sizes of performance metrics, and to calculate niche overlap between model predictions, among others. The package was originally built for Maxent models (Phillips et al. 2006, Phillips et al. 2017), but the current version allows possible extensions for any modeling algorithm. The extensive vignette, which guides users through most package functionality but unfortunately has a file size too big for CRAN, can be found here on the package's Github Pages website: .
How to cite:
Jamie M. Kass (2014). ENMeval: Automated Tuning and Evaluations of Ecological Niche Models. R package version 2.0.5, https://cran.r-project.org/web/packages/ENMeval. Accessed 01 Apr. 2025.
Previous versions and publish date:
0.1.0 (2014-08-26 07:52), 0.1.1 (2014-10-05 19:23), 0.2.0 (2015-09-11 18:22), 0.2.1 (2016-01-04 16:08), 0.2.2 (2017-01-10 10:17), 0.3.0 (2018-08-15 10:10), 0.3.1 (2020-09-12 07:40), 2.0.0 (2021-05-19 14:20), 2.0.1 (2021-06-12 01:40), 2.0.2 (2021-12-13 10:10), 2.0.3 (2022-01-10 01:52), 2.0.4 (2023-01-09 12:53)
Other packages that cited ENMeval R package
View ENMeval citation profile
Other R packages that ENMeval depends, imports, suggests or enhances
Complete documentation for ENMeval
Functions, R codes and Examples using the ENMeval R package
Some associated functions: ENMdetails . ENMeval-package . ENMevaluate . ENMevaluation . ENMevaluation_convert . ENMnull . ENMnulls . aic.maxent . buildRMM . bvariegatus . calc.10p.trainThresh . calc.niche.overlap . clamp.vars . corrected.var . emp.bg.grp . emp.bg . emp.occs.grp . emp.occs . enm.args . enm.bioclim . enm.errors . enm.fun . enm.maxent.jar . enm.maxnet . enm.msgs . enm.name . enm.ncoefs . enm.predict . enm.variable.importance . enmeval_results . eval.algorithm . eval.bg.grp . eval.bg . eval.clamp.directions . eval.doClamp . eval.models . eval.occs.grp . eval.occs . eval.occs.testing . eval.other.settings . eval.overlap . eval.partition.method . eval.partition.settings . eval.predictions . eval.results . eval.results.partitions . eval.rmm . eval.taxon.name . eval.tune.settings . eval.variable.importance . evalplot.envSim.hist . evalplot.envSim.map . evalplot.grps . evalplot.nulls . evalplot.stats . lookup.enm . maxentJARversion . null.algorithm . null.doClamp . null.emp.results . null.mod.settings . null.no.iter . null.other.settings . null.partition.method . null.partition.settings . null.results . null.results.partitions . partitions . pipe . rasStackNAs . similarity . tune.enm . 
Some associated R codes: ENMeval-package.R . ENMevaluate.R . ENMnulls.R . bvariegatus.R . classes.R . enm.bioclim.R . enm.maxent.jar.R . enm.maxnet.R . enmeval_results.R . partitions.R . plotting.R . rmaxent_similarity.R . rmm.R . tune.enm.R . utilities.R . zzz.R .  Full ENMeval package functions and examples
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