cure_plot {cureplots}

CURE Plot

Description

CURE Plot

Usage

cure_plot(x, covariate = NULL, n_resamples = 0)

Arguments

x

Either a data frame produced with calculate_cure_dataframe, in that case, the first column is used to produce CURE plot; or regression model for count data (e.g., Poisson) adjusted with glm or gam.

covariate

Required when x is model fit.

n_resamples

Number of resamples to overlay on CURE plot. Zero is the default.

Value

A CURE plot generated with ggplot2.

Examples

## basic example code

set.seed(2000)

## Define parameters
beta <- c(-1, 0.3, 3)

## Simulate independent variables
n <- 900
AADT <- c(runif(n, min = 2000, max = 150000))
nlanes <- sample(x = c(2, 3, 4), size = n, replace = TRUE)
LNAADT <- log(AADT)

## Simulate dependent variable
theta <- exp(beta[1] + beta[2] * LNAADT + beta[3] * nlanes)
y <- rpois(n, theta)

## Fit model
mod <- glm(y ~ LNAADT + nlanes, family = poisson)

## Calculate residuals
res <- residuals(mod, type = "working")

## Calculate CURE plot data
cure_df <- calculate_cure_dataframe(AADT, res)

head(cure_df)

## Providing CURE data frame
cure_plot(cure_df)

## Providing glm object
cure_plot(mod, "LNAADT")

## Providing glm object adding resamples cumulative residuals
cure_plot(mod, "LNAADT", n_resamples = 3)