phmm.cond.loglik

Follow-up time (right censored data).

time

The status indicator (0=alive, 1=dead; or <code>TRUE</code>=dead,
<code>FALSE</code>=alive).

delta

Numeric matrix (<code>N</code>x<code>nfixed</code>) of covariates for fixed
effects.

Fitted fixed effects coefficients (<code>p</code>-vector).

beta

Numeric matrix (<code>N</code>x<code>nrandom</code>) of covariates for random
effects.

Numeric matrix (<code>N</code>x<code>nrandom</code>) of random effects
estimates.

Function for computing log-likelihood conditional on the estimated random
effects from the data and specified parameter estimates of a PHMM.

survival

Fits proportional hazards model incorporating random effects using
an EM algorithm using Markov Chain Monte Carlo at E-step. Vaida and Xu (2000)
<DOI:10.1002/1097-0258(20001230)19:24%3C3309::AID-SIM825%3E3.0.CO;2-9>.

phmm.cond.loglik: PHMM conditional log-likelihood

Description

Usage

Arguments

Value

See Also