Skew Normal Log-Likelihood
Usage
log_lik_skewnorm(
x,
location = 0,
scale = 1,
shape = 0,
tlower = -Inf,
tupper = Inf,
...,
mean,
sd
)Arguments
- x
A numeric vector of values.
- location
A numeric vector of the location parameter.
- scale
A non-negative numeric vector of the scale parameter.
- shape
A numeric vector of shape. Negative values result in leftward skew, while positive values result in rightward skew.
- tlower
A numeric vector of the lower truncation point.
- tupper
A numeric vector of the upper truncation point.
- ...
Unused.
- mean
A numeric vector of the location parameter. Described as "a numeric vector of the means" prior to to v. 0.10.1. Will be removed in a future version.
- sd
A non-negative numeric vector of the scale parameter. Described as "a non-negative numeric vector of the standard deviations" prior to v. 0.10.1. Will be removed in a future version.
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_multinom(),
log_lik_neg_binom(),
log_lik_norm(),
log_lik_pois(),
log_lik_pois_zi(),
log_lik_skewlnorm(),
log_lik_student(),
log_lik_unif()
