log_lik_exp: Exponential Log-Likelihood

In extras: Helper Functions for Bayesian Analyses

Exponential Log-Likelihood

Description

The exponential distribution is parameterized in terms of the rate.

Usage

log_lik_exp(x, rate = 1, tlower = 0, tupper = Inf)

Arguments

x	A non-negative numeric vector of values.
rate	A non-negative numeric vector of rate.
tlower	A numeric vector of the lower truncation point.
tupper	A numeric vector of the upper truncation point.

Value

A numeric vector of the corresponding log-likelihoods.

See Also

Other log_lik_dist: log_lik_bern(), log_lik_beta(), log_lik_beta_binom(), log_lik_binom(), log_lik_gamma(), log_lik_gamma_pois(), log_lik_gamma_pois_zi(), log_lik_lnorm(), log_lik_neg_binom(), log_lik_norm(), log_lik_pois(), log_lik_pois_zi(), log_lik_skewlnorm(), log_lik_skewnorm(), log_lik_student(), log_lik_unif()

Examples

log_lik_exp(c(0, 1, 2), 2)

extras documentation built on July 16, 2026, 1:07 a.m.