fit_bart_model: Fit a BART Model Using Environmental Covariate Layers
In glossa: User-Friendly 'shiny' App for Bayesian Species Distribution Models
View source: R/bart_functions.R
fit_bart_model R Documentation
Fit a BART Model Using Environmental Covariate Layers
Description
This function fits a Bayesian Additive Regression Trees (BART) model using
presence/absence data and environmental covariate layers.
Usage
fit_bart_model(y, x, seed = NULL)
Arguments
y
A numeric vector indicating presence (1) or absence (0).
x
A data frame with the same number of rows as the length of the vector 'y', containing the covariate values.
seed
An optional integer value for setting the random seed for reproducibility.
Value
A BART model object.
glossa documentation built on June 8, 2025, 1:20 p.m.
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View source: R/bart_functions.R
| fit_bart_model | R Documentation |
Fit a BART Model Using Environmental Covariate Layers
Description
This function fits a Bayesian Additive Regression Trees (BART) model using presence/absence data and environmental covariate layers.
Usage
fit_bart_model(y, x, seed = NULL)
Arguments
y |
A numeric vector indicating presence (1) or absence (0). |
x |
A data frame with the same number of rows as the length of the vector 'y', containing the covariate values. |
seed |
An optional integer value for setting the random seed for reproducibility. |
Value
A BART model object.
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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