log_lik_skewlnorm: Skew-Lognormal Log-Likelihood

In extras: Helper Functions for Bayesian Analyses

Skew-Lognormal Log-Likelihood

Description

Skew-Lognormal Log-Likelihood

Usage

log_lik_skewlnorm(
  x,
  meanlog = 0,
  sdlog = 1,
  shape = 0,
  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.
shape	A numeric vector of shape.
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_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_skewlnorm(1:5)
log_lik_skewlnorm(1:5, shape = -2)
log_lik_skewlnorm(1:5, shape = 2)

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