Package: TruncatedPCQM 0.1.2

Wenzhe Huang
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>.
Authors:
TruncatedPCQM_0.1.2.tar.gz
TruncatedPCQM_0.1.2.zip(r-4.7)TruncatedPCQM_0.1.2.zip(r-4.6)TruncatedPCQM_0.1.2.zip(r-4.5)
TruncatedPCQM_0.1.2.tgz(r-4.6-any)TruncatedPCQM_0.1.2.tgz(r-4.5-any)
TruncatedPCQM_0.1.2.tar.gz(r-4.7-any)TruncatedPCQM_0.1.2.tar.gz(r-4.6-any)
TruncatedPCQM_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
TruncatedPCQM/json (API)
| # Install 'TruncatedPCQM' in R: |
| install.packages('TruncatedPCQM', repos = c('https://rcjhrpyt-droid.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rcjhrpyt-droid/truncatedpcqm/issues
Last updated from:946f7611ff. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 129 | ||
| source / vignettes | OK | 169 | ||
| linux-release-x86_64 | OK | 143 | ||
| macos-release-arm64 | OK | 82 | ||
| macos-oldrel-arm64 | OK | 91 | ||
| windows-devel | OK | 70 | ||
| windows-release | OK | 75 | ||
| windows-oldrel | OK | 171 | ||
| wasm-release | OK | 90 |
Exports:adjusted_momentscsr_mlenbd_mle
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Adjusted Moment-based Estimators for Right-censored PCQM Data | adjusted_moments |
| CSR-based Maximum Likelihood Estimator for Right-censored PCQM Data | csr_mle |
| NBD-based Maximum Likelihood Estimator for Right-censored PCQM Data | nbd_mle |
| Print Methods for PCQM Density Estimation Objects | print print.pcqm_csr_mle print.pcqm_moments print.pcqm_nbd_mle |
| Summary Methods for PCQM Density Estimation Objects | print.summary.pcqm_csr_mle print.summary.pcqm_moments print.summary.pcqm_nbd_mle summary summary.pcqm_csr_mle summary.pcqm_moments summary.pcqm_nbd_mle |