loglikelihood_oizt: EL log-likelihood under one-inflated zero-truncated models

In ecnuliuyang/AbunOI: Semiparametric empirical likelihood inference for abundance from one-inflated capture-recapture data

Description

EL log-likelihood under one-inflated zero-truncated models

Usage

loglikelihood_oizt(N, y, x, beta, z, eta, alpha, prob, dist, K)

Arguments

N	number specifying the value of abundance.
y	number of times that individuals were captured
x	matrix containing the individual covariates which have influence on the capture probability.
beta	vector of regression cofficients in the capture probability model
z	matrix containing the individual covariates which have influence on the probability of one-inflation.
eta	vector of regression cofficients in the one-inflated probability model
alpha	number, the probability of never being captured
prob	vector, the probability mass function of covariates
dist	character specification of count regression model family, "poisson" or "binomial".
K	number specifying the number of capture occasions when dist is "binomial".

Value

The value of EL log-likelihood under one-inflated zero-truncated models.

References

Liu, Y., Li, P., Liu, Y., and Zhang, R. (2021). Semiparametric empirical likelihood inference for abundance from one-inflated capture-recapture data. Biometrical Journal.

ecnuliuyang/AbunOI documentation built on Feb. 13, 2022, 4:32 p.m.