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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 |
| DOI: | 10.32614/CRAN.package.ImCluster |
| 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 |
| Reference manual: | ImCluster.pdf |
| Package source: | ImCluster_0.1.0.tar.gz |
| Windows binaries: | r-devel: ImCluster_0.1.0.zip, r-release: ImCluster_0.1.0.zip, r-oldrel: ImCluster_0.1.0.zip |
| macOS binaries: | r-release (arm64): ImCluster_0.1.0.tgz, r-oldrel (arm64): ImCluster_0.1.0.tgz, r-release (x86_64): ImCluster_0.1.0.tgz, r-oldrel (x86_64): ImCluster_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.