Student's t Log-Likelihood
Arguments
- x
A numeric vector of values.
- mean
A numeric vector of the means.
- sd
A non-negative numeric vector of the standard deviations.
- theta
A non-negative numeric vector of the dispersion for the mixture models (student, gamma-Poisson and beta-binomial).
- tlower
A numeric vector of the lower truncation point.
- tupper
A numeric vector of the upper truncation point.
Examples
log_lik_student(c(1, 3.5, 4), mean = 1, sd = 2, theta = 1 / 3)
#> [1] -1.694036 -2.532553 -2.813268
