Package: ImCluster 0.1.0

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>.

Authors: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]

ImCluster_0.1.0.tar.gz
ImCluster_0.1.0.zip(r-4.5)ImCluster_0.1.0.zip(r-4.4)ImCluster_0.1.0.zip(r-4.3)
ImCluster_0.1.0.tgz(r-4.5-any)ImCluster_0.1.0.tgz(r-4.4-any)ImCluster_0.1.0.tgz(r-4.3-any)
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ImCluster.pdf |ImCluster.html✨
ImCluster/json (API)

# Install 'ImCluster' in R:
install.packages('ImCluster', repos = c('https://imiqbal.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 154 downloads 1 exports 16 dependencies

Last updated 1 years agofrom:8b1a1869df. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 01 2025
R-4.5-winOKApr 01 2025
R-4.5-macOKApr 01 2025
R-4.5-linuxOKApr 01 2025
R-4.4-winOKApr 01 2025
R-4.4-macOKApr 01 2025
R-4.4-linuxOKApr 01 2025
R-4.3-winOKApr 01 2025
R-4.3-macOKApr 01 2025

Exports:ImCluster

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr