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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2 |
rolling linux/jammy R-4.5 | TruncatedPCQM_0.1.2.tar.gz |
59.7 KiB |
0.1.2 |
rolling linux/noble R-4.5 | TruncatedPCQM_0.1.2.tar.gz |
59.6 KiB |
0.1.2 |
rolling source/ R- | TruncatedPCQM_0.1.2.tar.gz |
14.8 KiB |
0.1.2 |
latest linux/jammy R-4.5 | TruncatedPCQM_0.1.2.tar.gz |
59.7 KiB |
0.1.2 |
latest linux/noble R-4.5 | TruncatedPCQM_0.1.2.tar.gz |
59.6 KiB |
0.1.2 |
latest source/ R- | TruncatedPCQM_0.1.2.tar.gz |
14.8 KiB |
0.1.2 |
2026-04-26 source/ R- | TruncatedPCQM_0.1.2.tar.gz |
14.8 KiB |
0.1.2 |
2026-04-23 source/ R- | TruncatedPCQM_0.1.2.tar.gz |
14.8 KiB |
0.1.2 |
2026-04-09 windows/windows R-4.5 | TruncatedPCQM_0.1.2.zip |
62.3 KiB |