sepplot: Generate a Separation Plot

In spduration: Split-Population Duration (Cure) Regression

Description

A separationplot wrapper for class “spdur”.

Usage

sepplot(x, pred_type = "conditional hazard", obs = NULL,
  endSpellOnly = FALSE, lwd1 = 5, lwd2 = 2, shuffle = TRUE,
  heading = "", show.expected = TRUE, newplot = FALSE, type = "line",
  ...)

Arguments

x	An object of class "spdur".
pred_type	Which statistic to plot, i.e. "conditional hazard" or "conditional risk".
obs	Variable that captures observed outcomes. If NULL (default), it is chosen based on pred_type: "fail" for (conditional) hazard, and "atrisk" for (conditional) risk.
endSpellOnly	Should only the last observation in each spell be kept? FALSE by default.
lwd1	See separationplot.
lwd2	See separationplot.
shuffle	See separationplot.
heading	See separationplot.
show.expected	See separationplot.
newplot	See separationplot
type	See separationplot.
...	Optional parameters passed to separationplot, e.g. type of statistic to calculate.

Details

Creates a separation plot of fitted values from split-duration model results using predict.spdur.

See Also

separationplot, predict.spdur

Examples

# get model estimates
library(separationplot)
data(model.coups)

# plot
p <- plot(model.coups)
p

spduration documentation built on May 1, 2019, 6:32 p.m.