dsurv: Survival

In npsurvSS: Sample Size and Power Calculation for Common Non-Parametric Tests in Survival Analysis

Description

Density, distribution function, hazard function, quantile function, and random generation for the survival distribution.

Usage

dsurv(x, arm, include_cured = T)

psurv(q, arm, include_cured = T, lower.tail = T)

hsurv(x, arm, include_cured = T)

qsurv(p, arm, include_cured = T, lower.tail = T)

rsurv(n = 1, arm, include_cured = T)

Arguments

x, q	vector of quantiles.
arm	object of class arm.
include_cured	logical; if TRUE, mixture distribution of cured and uncured patients is considered; otherwise, only the distribution for uncured patients is considered.
lower.tail	logical; if TRUE, probabilities are P(X ≤ x); otherwise, P(X > x).
p	vector of probabilities.
n	number of observations.

Value

dsurv gives the density, psurv gives the distribution function, hsurv gives the hazard function, qsurv gives the quantile function, and rsurv generates random deviates.

See Also

create_arm and create_arm_lachin for creating an object of class 'arm'.

npsurvSS documentation built on Jan. 11, 2020, 9:18 a.m.