README.md

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

AbunOI

The R package AbunOI implements the semiparametric empirical likelihood (EL) inference for abundance via EM algorithms.

The zero-truncated, zero-truncated one-inflated, and one-inflated zero-truncated binomial and Poisson regression models could be used to fit the one-inflated capture-recapture data. Under these models, this package provides four main functions to make statistical inferences.

• abun_oi(): used to calculate the maximum EL estimators of abundance and regression coefficients, as well as the EL ratio confidence interval of abundance.

• abun_oi_test(): used to calculate the score test statistics for whether the one-inflation exists.

• abun_oi_boot(): used to calculate the bootstrap-based standard errors for the maximum EL estimators.

• summary(): used to summarize the maximum EL estimation results.

Usage

In the R software, the following codes are used to install the package:

install.packages("devtools")

library(devtools)

install_github("ecnuliuyang/AbunOI")

As an example, the following codes are provided to show the usage of the main functions in this packag:

library(AbunOI)

example(abun_oi)

Reference

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

For questions, comments or remarks about the code please contact Y. Liu at this email address [e-mail].

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