crecs: crecs: Comfy Multivariate Regression and Cross-validation...
In janhoo/crecs: quantitative species distribution modelling
Description
crecs provides wrapper functions for some popular multivariate regression and catgorization / species distribution modelling methods.
It has three main goals:
Free you from tedious tasks trough easy automation.
Provide a large variety of model performance metrics.
Provide model validation techniques like cross-validation, null-models,
and exploration of spatial autocorrelation.
janhoo/crecs documentation built on May 18, 2019, 12:25 p.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
crecs provides wrapper functions for some popular multivariate regression and catgorization / species distribution modelling methods. It has three main goals:
Free you from tedious tasks trough easy automation.
Provide a large variety of model performance metrics.
Provide model validation techniques like cross-validation, null-models,
and exploration of spatial autocorrelation.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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