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-4.4-any)ImCluster_0.1.0.tgz(r-4.3-any)
ImCluster_0.1.0.tar.gz(r-4.5-noble)ImCluster_0.1.0.tar.gz(r-4.4-noble)
ImCluster_0.1.0.tgz(r-4.4-emscripten)ImCluster_0.1.0.tgz(r-4.3-emscripten)
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'))

Peer review:

On CRAN:

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

1.00 score 134 downloads 1 exports 16 dependencies

Last updated 1 years agofrom:8b1a1869df. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-winOKNov 02 2024
R-4.5-linuxOKNov 02 2024
R-4.4-winOKNov 02 2024
R-4.4-macOKNov 02 2024
R-4.3-winOKNov 02 2024
R-4.3-macOKNov 02 2024

Exports:ImCluster

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr