alphaEst: Estimate the Interval Baseline Survival Rates for...

In lclGWAS: Efficient Estimation of Discrete-Time Multivariate Frailty Model Using Exact Likelihood Function for Grouped Survival Data

Description

A method to estimate the baseline survival rate for each time interval for a multivariate frailty model. The estimation is conduced under the null hypothesis, i.e., that there is no fixed effect.

Usage

  alphaEst(dtime, delta)  	

Arguments

dtime	Vector of observed discrete survival times for each sample.
delta	Event indicator vector: 1 indicates observed event, 0 indicates censored.

Value

A list with one object:

alphaEst

Vector of estimates of the baseline survival rates.

Examples

# Generate dummy data	
dtime <- c(1, 3, 3, 2, 1, 1, 2, 3, 1)
delta <- c(1, 0, 1, 1, 1, 0, 1, 0, 1)
res   <- alphaEst(dtime, delta) 
res

Example output

$alphaEst
[1] 0.625 0.600 0.000

lclGWAS documentation built on May 2, 2019, 2:46 p.m.