<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>rcjhrpyt-droid.r-universe.dev</title><link>https://rcjhrpyt-droid.r-universe.dev</link><description>Recent package updates in rcjhrpyt-droid</description><generator>R-universe</generator><image><url>https://github.com/rcjhrpyt-droid.png</url><title>R packages by rcjhrpyt-droid</title><link>https://rcjhrpyt-droid.r-universe.dev</link></image><lastBuildDate>Wed, 27 May 2026 08:58:30 GMT</lastBuildDate><item><title>[rcjhrpyt-droid] TruncatedPCQM 0.1.2</title><author>51280155097@stu.ecnu.edu.cn (Wenzhe Huang)</author><description>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) &lt;doi:10.48550/arXiv.2603.08276&gt;.</description><link>https://github.com/r-universe/rcjhrpyt-droid/actions/runs/26519596464</link><pubDate>Wed, 27 May 2026 08:58:30 GMT</pubDate><r:package>TruncatedPCQM</r:package><r:version>0.1.2</r:version><r:status>success</r:status><r:repository>https://rcjhrpyt-droid.r-universe.dev</r:repository><r:upstream>https://github.com/rcjhrpyt-droid/truncatedpcqm</r:upstream></item></channel></rss>