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_skewnorm(),
log_lik_student(),
log_lik_unif()
Examples
log_lik_exp(c(0, 1, 2), 2)
#> [1] 0.6931472 -1.3068528 -3.3068528
