Zero-Inflated Gamma-Poisson Log-Likelihood
Arguments
- x
A non-negative whole numeric vector of values.
- lambda
A non-negative numeric vector of means.
- theta
A non-negative numeric vector of the dispersion for the mixture models (student, gamma-Poisson and beta-binomial).
- prob
A numeric vector of values between 0 and 1 of the probability of success.
- tlower
A numeric vector of the lower truncation point.
- tupper
A numeric vector of the upper truncation point.
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_lnorm(),
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_gamma_pois_zi(c(1, 3, 4), 3, 1, prob = 0.5)
#> [1] -2.367124 -2.942488 -3.230170
