Number of Newly Discovered Rare Species Estimation
Generate a bootstrap abundance-based sample
Generate a bootstrap incidence-based sample
Abundance-based data: the estimation of parameters for obtaining the e...
Incidence-based data: the estimation of parameters for obtaining the e...
Data transformation: from species frequency counts to species abundanc...
Abundance-based data: predicting the number of new rare species
Abundance-based data: Bayesian-weight estimator
Abundance-based data: unweighted naive estimator
Abundance-based data: Unweighted estimator
Incidence-based data: predicting the number of new rare species
Incidence-based data: Bayesian-weight estimator
Incidence-based data: unweighted naive estimator
Incidence-based data: Unweighted Estimator
tools:::Rd_package_title("RSE")
Species richness estimation
Data transformation: from species abundance data to species frequency ...
A Bayesian-weighted estimator and two unweighted estimators are developed to estimate the number of newly found rare species in additional ecological samples. Among these methods, the Bayesian-weighted estimator and an unweighted (Chao-derived) estimator are of high accuracy and recommended for practical applications. Technical details of the proposed estimators have been well described in the following paper: Shen TJ, Chen YH (2018) A Bayesian weighted approach to predicting the number of newly discovered rare species. Conservation Biology, In press.