Density Estimation for Point-Centered Quarter Method with Truncated Sampling R package TruncatedPCQM version 0.1.2 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>. Software Depends: R (>= 3.5.0) Suggests: testthat (>= 3.0.0), dplyr (>= 1.1.0) Wenzhe Huang <51280155097@stu.ecnu.edu.cn> Comprehensive R Archive Network (CRAN) Wenzhe Huang [aut, cre], Guochun Shen [aut], Dingliang Xing [aut], Jiangyan Zhao [aut] GPL (>= 3) 2026-03-27 application/tgz https://CRAN.R-project.org/package=TruncatedPCQM doi:10.32614/CRAN.package.TruncatedPCQM en