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CRAN-RELEASE

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This package was submitted to CRAN on 2020-05-02.
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Once it is accepted, delete this file and tag the release (commit 213beee10d).
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This package was submitted to CRAN on 2020-05-08.
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Once it is accepted, delete this file and tag the release (commit 89b7124f6c).

R/calibrate.R

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#' calibrate()
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#'
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#' This function outputs a calibrated significance level based on coverage of prediction intervals generated using oob collections. Primarily for use in RoyRF(). Attempting to see which other methods could utilize this procedure.
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#' This function outputs a calibrated significance level based on coverage of prediction intervals generated using oob collections. Primarily for use in RoyRF().
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#' @param oob collection of oob predictions for training data (in list form).
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#' @param alpha nominal significance level. Defaults to 0.01.
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#' @param response_data response data of class data.frame. Must have names() attribute.
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#' @param undercoverage Allow undercoverage. Defaults to TRUE. Not currently implemented.
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#' @param method Method to calibrate prediction intervals with. Defaults to "quantile"). Current only "quantile" implemented.
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#' @param max_iter Maximum number of iterations. Defaults to 10.
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#' @keywords random forest, calibration, internal
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#' calibrate <- function(oob, alpha = alpha, response_data, dep, tolerance = .025)
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#' @keywords internal
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calibrate <- function(oob, alpha = .1, response_data, tolerance = .025,
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step_percent = .618, undercoverage = FALSE, method = "quantile",
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max_iter = 10) {

cran-comments.md

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-Corrected par() mistake; reverted par() setting back to original after example
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-Reduced references in documentation to seven; all methods explicitly used in package
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-Added documentation for each function in package
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05-08-2020.2
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-Fixed keyword issues

man/calibrate.Rd

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