summary.pcdfit: Summarise a fitted panel count model

In pcdreg: Semiparametric Regression for Panel Count Data

Summarise a fitted panel count model

Description

Summarise a fitted panel count model

Usage

## S3 method for class 'pcdfit'
summary(object, type = c("robust", "information", "profile"), ...)

Arguments

object	A fitted pcdreg() model.
type	Which covariance estimator to base the standard errors on. See vcov.pcdfit().
...	Ignored.

Value

An object of class "summary.pcdfit", whose coefficients component is the usual four column table of estimates, standard errors, Wald statistics and two sided p-values.

Examples

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

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