calculate_cure_dataframe {cureplots}

Calculate CURE Dataframe

Description

Calculate CURE Dataframe

Usage

calculate_cure_dataframe(covariate_values, residuals)

Arguments

covariate_values

name to be plot. With or without quotes.

residuals

Residuals.

Value

A data frame with five columns: independent variable, residuals, cumulative residuals, lower confidence interval limit, and upper confidence interval limit.

Examples

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)