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maxnet  

Fitting 'Maxent' Species Distribution Models with 'glmnet'
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("maxnet", "0.1.4")



Attach the package and use:
library("maxnet")
Maintained by
Steven Phillips
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-16
Latest Update: 2021-07-09
Description:
Procedures to fit species distributions models from occurrence records and environmental variables, using 'glmnet' for model fitting. Model structure is the same as for the 'Maxent' Java package, version 3.4.0, with the same feature types and regularization options. See the 'Maxent' website for more details.
How to cite:
Steven Phillips (2016). maxnet: Fitting 'Maxent' Species Distribution Models with 'glmnet'. R package version 0.1.4, https://cran.r-project.org/web/packages/maxnet. Accessed 03 Jul. 2026.
Previous versions and publish date:
0.1.0 (2016-11-16 08:16), 0.1.1 (2017-02-03 19:18), 0.1.2 (2017-02-11 00:22)
Other packages that cited maxnet R package
View maxnet citation profile
Other R packages that maxnet depends, imports, suggests or enhances
Complete documentation for maxnet
Functions, R codes and Examples using the maxnet R package
Some associated functions: bradypus . hinge . maxnet-package . maxnet . plot.maxnet . 
Some associated R codes: categorical.R . categoricalval.R . data.R . hinge.R . hingeval.R . maxnet.R . maxnet.default.regularization.R . maxnet.formula.R . plot.maxnet.R . predict.maxnet.R . response.plot.R . thresholds.R . thresholdval.R .  Full maxnet package functions and examples
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