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:Wenzhe Huang [aut, cre], Guochun Shen [aut], Dingliang Xing [aut], Jiangyan Zhao [aut]

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

On CRAN:

Conda:

3.54 score 440 downloads 3 exports 0 dependencies

Last updated from:946f7611ff. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK129
source / vignettesOK169
linux-release-x86_64OK143
macos-release-arm64OK82
macos-oldrel-arm64OK91
windows-develOK70
windows-releaseOK75
windows-oldrelOK171
wasm-releaseOK90

Exports:adjusted_momentscsr_mlenbd_mle

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Adjusted Moment-based Estimators for Right-censored PCQM Dataadjusted_moments
CSR-based Maximum Likelihood Estimator for Right-censored PCQM Datacsr_mle
NBD-based Maximum Likelihood Estimator for Right-censored PCQM Datanbd_mle
Print Methods for PCQM Density Estimation Objectsprint print.pcqm_csr_mle print.pcqm_moments print.pcqm_nbd_mle
Summary Methods for PCQM Density Estimation Objectsprint.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