autoplot.pcdfit: Plot the estimated baseline function

In pcdreg: Semiparametric Regression for Panel Count Data

Plot the estimated baseline function

Description

Plot the estimated baseline function

Usage

## S3 method for class 'pcdfit'
autoplot(object, ...)

## S3 method for class 'pcdfit'
plot(x, ...)

Arguments

object, x	A fitted pcdreg() model.
...	Ignored.

Details

The rate model's \hat\Lambda increases by construction. The means model's \hat\mu need not, and with covariates that fluctuate it generally does not; it is drawn as estimated rather than forced upwards, because that behaviour is the point of the comparison between the two models.

Value

A ggplot2::ggplot() object: a step function of the cumulative baseline rate for the rate model, or of the baseline mean for the means model. autoplot() returns it; plot() draws it and returns it invisibly, so it can be used for its side effect like any other plot() method.

Examples

set.seed(1)
d <- sim_pcd(80, beta = c(1, -1), lambda = function(t) 8 / (1 + t))
autoplot(pcdreg(pcd(id, tstart, tstop, count) ~ x1 + x2, d))

pcdreg documentation built on Nov. 10, 2026, 5:09 p.m.