nmixsurv: Non-Mixture Cure Models

In flexsurvcure: Flexible Parametric Cure Models

Non-Mixture Cure Models

Description

Probability density, distribution, quantile, random generation, hazard cumulative hazard, mean, and restricted mean functions for generic non-mixture cure models. These distribution functions take as arguments the corresponding functions of the base distribution used.

Usage

pnmixsurv(pfun, q, theta, ...)

hnmixsurv(dfun, x, theta, ...)

Hnmixsurv(pfun, x, theta, ...)

dnmixsurv(dfun, pfun, x, theta, ...)

qnmixsurv(qfun, p, theta, ...)

rnmixsurv(qfun, n, theta, ...)

rmst_nmixsurv(pfun, t, theta, ...)

mean_nmixsurv(pfun, theta, ...)

Arguments

pfun	The base distribution's cumulative distribution function.
theta	The estimated cure fraction.
...	Parameters to be passed to the pdf or cdf of the base distribution.
dfun	The base distribution's probability density function.
x, q, t	Vector of times.
qfun	The base distribution's quantile function.
p	Vector of probabilities.
n	Number of random numbers to simulate.

Details

es dnmixsurv pnmixsurv qnmixsurv rnmixsurv hnmixsurv Hnmixsurv mean_nmixsurv rmst_nmixsurv

Value

dnmixsurv gives the density, pnmixsurv gives the distribution function, hnmixsurv gives the hazard and Hnmixsurv gives the cumulative hazard.

qnmixsurv gives the quantile function, which is computed by crude numerical inversion.

rnmixsurv generates random survival times by using qnmixsurv on a sample of uniform random numbers. Due to the numerical root-finding involved in qnmixsurv, it is slow compared to typical random number generation functions.

mean_nmixsurv and rmst_nmixsurv give the mean and restricted mean survival times, respectively.

Author(s)

Jordan Amdahl <[e-mail]>

flexsurvcure documentation built on Nov. 2, 2022, 1:07 a.m.