exp-aft: Exponential AFT parametric family.

In RoBSA: Robust Bayesian Survival Analysis

Exponential AFT parametric family.

Description

(log) density, hazard, and survival functions for AFT exponential parametric family.

Usage

exp_aft_log_density(t, eta)

exp_aft_log_hazard(t, eta)

exp_aft_log_survival(t, eta)

exp_aft_density(t, eta)

exp_aft_hazard(t, eta)

exp_aft_survival(t, eta)

exp_aft_mean(eta)

exp_aft_sd(eta)

exp_aft_r(n, eta)

exp_aft_q(p, eta)

exp_aft_p(q, eta)

Arguments

t	vector of survival times
eta	linear predictor
n	number of observations
p	vector of probabilities
q	vector of quantiles

Value

exp_aft_density, exp_aft_hazard, and exp_aft_survival return the density, hazard, and survival of the specified survival distribution. The exp_aft_log_density, exp_aft_log_hazard, exp_aft_log_survival return log of the corresponding qualities. exp_aft_mean and exp_aft_sd return the mean and standard deviation of the specified survival distribution. exp_aft_r, exp_aft_q, and exp_aft_p return a random generation, quantiles, and cumulative probabilities of the specified survival distribution.

RoBSA documentation built on April 4, 2025, 5:25 a.m.