log_lik_lnorm: Log-Normal Log-Likelihood

In extras: Helper Functions for Bayesian Analyses

Log-Normal Log-Likelihood

Description

Log-Normal Log-Likelihood

Usage

log_lik_lnorm(x, meanlog = 0, sdlog = 1, tlower = 0, tupper = Inf)

Arguments

x	A numeric vector of values.
meanlog	A numeric vector of the means on the log scale.
sdlog	A non-negative numeric vector of the standard deviations on the log scale.
tlower	A numeric vector of the lower truncation point.
tupper	A numeric vector of the upper truncation point.

Value

An 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_exp(), log_lik_gamma(), log_lik_gamma_pois(), log_lik_gamma_pois_zi(), 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_lnorm(10, 0, 2)

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