condMoments

K1.norm

K2.norm

K1.t3

K2.t3

K1.exp

K2.exp

K1 provides $E(Y|Y>w)$ and K2 provides $E(Y^2|Y>w)$ for Y as standard normal, standardized <em>t</em> with 3 degrees of freedom, or an exponential with mean 0 and variance 1.

Solves for the mean parameters, the variance parameter,
        and their asymptotic variance in a conditional GEE for
        recurrent event gap times, as described by Clement and
        Strawderman (2009) in the journal Biostatistics. Makes a
        parametric assumption for the length of the censored gap time.

David Clement

condGEE

Parameter estimation in conditional GEE for recurrent event gap
        times

condMoments function

First and second conditional moments for 3 distributions

condMoments: First and second conditional moments for 3 distributions

Description

Usage

Arguments

Value