TruncatedPCQM: Density Estimation for Point-Centered Quarter Method with
Truncated Sampling
Implements a systematic methodology for estimating population density from
point-centered quarter method (PCQM) surveys when distance measurements are
truncated by a maximum search radius (right-censored). The package provides
a unified framework for analyzing such incomplete data, addressing both
completely randomly distributed (Poisson) and spatially aggregated
(Negative Binomial) populations. Key features include: (1) Adjusted
moment-based density estimators for censored distances; (2) Maximum
likelihood estimation (MLE) of density under the Poisson (CSR) model; and
(3) Simultaneous MLE of density and an aggregation parameter under the
Negative Binomial model. For more details, see Huang, Shen, Xing, and Zhao
(2026) <doi:10.48550/arXiv.2603.08276>.
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