log_gamma_mixture: PDF and CDF of a Gamma mixture distribution

In bayesCureRateModel: Bayesian Cure Rate Modeling for Time-to-Event Data

PDF and CDF of a Gamma mixture distribution

Description

Computes the logarithm of the probability density function and cumulative density function per observation for each observation under a Gamma mixture model.

Usage

log_gamma_mixture(y, a1, a2, p, c_under = 1e-09)

Arguments

y	observed data
a1	vector containing the shape parameters of each Gamma mixture component
a2	vector containing the rate parameters of each Gamma mixture component
p	vector of mixing proportions
c_under	threshold for underflows.

Value

A list containing the following entries

log_f	natural logarithm of the pdf, evaluated at each datapoint.
log_F	natural logarithm of the CDF, evaluated at each datapoint.

Author(s)

Panagiotis Papastamoulis

Examples

y <- runif(10)
a1 <- c(1,2)
a2 <- c(1,1)
p <- c(0.9,0.1)
log_gamma_mixture(y, a1, a2, p)

bayesCureRateModel documentation built on Oct. 4, 2024, 1:07 a.m.