Title: Computing Essential Biodiversity Variables from Global Forest
Author: Wilson Lara <wilarhen@temple.edu>, Victor Gutierrez-Velez <victorhugo@temple.edu>
Description: Metrics of two Essential Biodiversity Variables: forest extents and forest fragmentation indices (O'connor et al., 2015) <doi:10.1002/rse2.4> are computed by processing Global Forest Change data (Hansen et al., 2013) <doi:10.1126/science.1244693>. The Forest Change Data are extracted using either Geographic Administrative Units, see <https://gadm.org/>, or user-defined polygons. Most of the procedures can be understood implementing two functions: FCPolygon() and EBVmetric().

Description: Metrics and statistics of Essential Biodiversity Variables are computed by processing Global Forest Change data (Hansen et al., 2013) <doi:10.1126/science.1244693> , Canopy Cover data (Sexton et al., 2013) <doi:10.1080/17538947.2013.786146>, and polygon geometries (e.g., GADM, see <https://gadm.org/>).

Title: Approximate False Positive Rate Control in Selection Frequency
Description: Approximate false positive rate control in selection frequency for
random forest using the methods described by Ender Konukoglu and Melanie Ganz (2015) <arXiv:1410.2838>.
Methods for calculating the selection frequency threshold at false positive rates
and selection frequency false positive rate feature selection.

random forest using the methods described by Ender Konukoglu and Melanie Ganz (2014) <arXiv:1410.2838>.
Imports: Rcpp, purrr, tibble, magrittr, dplyr

Suggests: testthat, randomForest, ranger, parsnip

Suggests: testthat, randomForest, ranger, parsnip, knitr, rmarkdown

Title: A Unified Framework for Random Forest Prediction Error
Description: Estimates the conditional error distributions of random forest
predictions and common parameters of those distributions, including
conditional mean squared prediction errors, conditional biases, and
conditional quantiles, by out-of-bag weighting of out-of-bag prediction
errors as proposed by Lu and Hardin (2019+) <arXiv:1912.07435>.
This package is compatible with several existing packages that