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Showing content from http://cran.rstudio.com/web/packages/Rcpp/../RcppXsimd/../Rcpp/../predtools/readme/README.html below:

README

Overview

predtools provides miscellaneous tools for developing and evaluating prediction models.

Table of Contents Installation

You can install the released version of predtools from CRAN with:

install.packages("predtools")

And the development version from GitHub with:

# install.packages("remotes")
remotes::install_github("resplab/predtools")
Example

The function calibration_plot takes observed and predicted values from a prediction model and uses ggplot2 to produce a calibration plot:

library(predtools)
library(dplyr)
x <- rnorm(100, 10, 2)
y <- x + rnorm(100,0, 1)
data <- tibble(x,y)
calibration_plot(data, obs = "x", pred_1 = "y")

See vignettes for more advanced functionalities, including model-based ROC, intercept adjustment, calibration plot, and unit normal loss integral in two dimensions.

You can also access the vignettes from R:

browseVignettes("predtools")

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