pwexpcuts: Piecewise Exponential Approximation to a Survival...

In lrstat: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond

Piecewise Exponential Approximation to a Survival Distribution

Description

Obtains the piecewise exponential distribution that approximates a survival distribution.

Usage

pwexpcuts(S, ...)

Arguments

S	The survival function of a univariate survival time.
...	Additional arguments to be passed to S.

Value

A list with three components:

• piecewiseSurvivalTime: A vector that specifies the starting time of piecewise exponential survival time intervals. Must start with 0, e.g., c(0, 6) breaks the time axis into 2 event intervals: [0, 6) and [6, Inf).

• lambda: A vector of hazard rates for the event. One for each analysis time interval.

• loglik: The sequence of the asymptotic limit of the piecewise exponential log-likelihood for an increasing number of change points.

Author(s)

Kaifeng Lu, [e-mail]

Examples

# Example 1: Piecewise exponential
pwexpcuts(ptpwexp, piecewiseSurvivalTime = c(0, 3.4, 5.5),
          lambda = c(0.0168, 0.0833, 0.0431), lowerBound = 0,
          lower.tail = FALSE)

# Example 2: Weibull
pwexpcuts(pweibull, shape = 1.37, scale = 1/0.818, lower.tail = FALSE)

lrstat documentation built on Oct. 18, 2024, 9:06 a.m.