`predtools`

provides miscellaneous tools for developing
and evaluating prediction models.

- Installation
- Example
- Model-based ROC
- Intercept Adjustment
- Calibration Plot
- Unit Normal Loss Integral in Two Dimensions

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

`install.packages("predtools")`

And the development version from GitHub with:

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

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")`