qtpwexp: Quantile Function of Truncated Piecewise Exponential...

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

Quantile Function of Truncated Piecewise Exponential Distribution

Description

Obtains the quantile of a truncated piecewise exponential distribution.

Usage

qtpwexp(
  p,
  piecewiseSurvivalTime = 0,
  lambda = 0.0578,
  lowerBound = 0,
  lower.tail = TRUE,
  log.p = FALSE
)

Arguments

p	The vector of probabilities.
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). Defaults to 0 for exponential distribution.
lambda	A vector of hazard rates for the event. One for each analysis time interval.
lowerBound	The left truncation time point for the survival time. Defaults to 0 for no truncation.
lower.tail	Logical; if TRUE (default), probabilities are P(X <= x), otherwise, P(X > x).
log.p	Logical; if TRUE, probabilities p are given as log(p).

Value

The quantile q such that P(X > q | X > lowerBound) = 1 - p.

Author(s)

Kaifeng Lu, [e-mail]

Examples

qtpwexp(p = c(0.205, 0.317), piecewiseSurvivalTime = c(0, 6, 9, 15),
        lambda = c(0.025, 0.04, 0.015, 0.007))

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