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A modified regression tree R package that is intended for spatial datasets that feature coordinate information. Coordinate information is used to calculate measures of both spatial autocorrelation and spatial compactness during the splitting phase of the tree. This gives the tree more predictive power on these types of spatial datasets. The objective function for this regression tree is a linear combination of three objective functions. The hyperparameters “alpha” and “beta” (each given from 0.0 to 1.0 where alpha and beta do not sum to a number greater than 1.0) control the weight on the spatial autocorrelation and spatial compactness objective functions respectively.
To install this package from the source code, make sure that you have
the devtools package downloaded by using
install.packages("devtools")
. ### Windows You must have
Rtools downloaded so that the C++ source can be compiled. The most
recent version of rtools can be found here ### macOS
Install the Xcode command line tools with
xcode-select --install
in the shell. You may need to
register as an Apple developer first. ### Linux To compile the C++ code,
you must also have the R development tools, which can be installed by
installing the r-base-dev package.
To install this package in an R environment, use
devtools::install_github("ethanancell/autocart")
To get started after installation, view the introductory autocart
vignette by using vignette("autocart-intro")
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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