ImCluster: Efficiency of Cluster Sampling for Crop Surveys

Cluster sampling is a valuable approach when constructing a comprehensive list of individual units is challenging. It provides operational and cost advantages. This package is designed to test the efficiency of cluster sampling in terms cluster variance and design effect in context to crop surveys. This package has been developed using the algorithm of Iqbal et al. (2018) <doi:10.19080/BBOAJ.2018.05.555673>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: stats, dplyr
Published: 2023-11-07
Author: M. Iqbal Jeelani [aut, cre], Fehim Jeelani [aut], Shakeel Ahmad Mir [aut], Showkat Maqbool [aut], Syed Naseem Geelani [aut], Mushtaq Ahmad Lone [aut], Md Yeasin [aut]
Maintainer: M. Iqbal Jeelani <jeelani.miqbal at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: ImCluster results

Documentation:

Reference manual: ImCluster.pdf

Downloads:

Package source: ImCluster_0.1.0.tar.gz
Windows binaries: r-prerel: ImCluster_0.1.0.zip, r-release: ImCluster_0.1.0.zip, r-oldrel: ImCluster_0.1.0.zip
macOS binaries: r-prerel (arm64): ImCluster_0.1.0.tgz, r-release (arm64): ImCluster_0.1.0.tgz, r-oldrel (arm64): ImCluster_0.1.0.tgz, r-prerel (x86_64): ImCluster_0.1.0.tgz, r-release (x86_64): ImCluster_0.1.0.tgz

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