print.TPreg: Printing the model fits

In idmTPreg: Regression Model for Progressive Illness Death Data

Description

Provides the details about the estimated effect of covariate(s) on pre-specified transition probabilities for given s and t.

Usage

## S3 method for class 'TPreg'
print(x, ...)

Arguments

x	an object of class TPreg.
...	arguments to be passed to methods.

Details

print.TPreg formats the coefficients, standard errors, etc. The coefficients component of the result gives the estimated coefficients, their estimated standard errors, their confidence bands, and the p-values. The print method returns the aforementioned results for the specified s and t.

Value

print.TPreg returns a list with the following components:

Call	the matched call.
Transition	the specified transition(s).
(s,t)	the vector of current time and future time for the transition probabilities.
Coefficients	the matrix of coefficients, standard errors, lower confidence limits, upper confidence limits and p-values.

Also, trans= "all" will return Coefficients 11, Coefficients 12, Coefficients 13, and Coefficients 23.

See Also

TPreg, and generic functions summary.TPreg, and plot.TPreg.

Examples

## For examples see example TPreg.

idmTPreg documentation built on May 2, 2019, 3:35 p.m.