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 exports 0.09 score 16 dependencies 136 downloads

Last updated 11 months agofrom:8b1a1869df. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 03 2024
R-4.5-winOKSep 03 2024
R-4.5-linuxOKSep 03 2024
R-4.4-winOKSep 03 2024
R-4.4-macOKSep 03 2024
R-4.3-winOKSep 03 2024
R-4.3-macOKSep 03 2024

Exports:ImCluster

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr