Crandore Hub

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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling source/ R- ImCluster_0.1.0.tar.gz 2.1 KiB
0.1.0 rolling linux/jammy R-4.5 ImCluster_0.1.0.tar.gz 14.7 KiB
0.1.0 rolling linux/noble R-4.5 ImCluster_0.1.0.tar.gz 14.6 KiB
0.1.0 latest source/ R- ImCluster_0.1.0.tar.gz 2.1 KiB
0.1.0 latest linux/jammy R-4.5 ImCluster_0.1.0.tar.gz 14.7 KiB
0.1.0 latest linux/noble R-4.5 ImCluster_0.1.0.tar.gz 14.6 KiB
0.1.0 2026-04-26 source/ R- ImCluster_0.1.0.tar.gz 2.1 KiB
0.1.0 2026-04-23 source/ R- ImCluster_0.1.0.tar.gz 2.1 KiB
0.1.0 2026-04-09 windows/windows R-4.5 ImCluster_0.1.0.zip 17.5 KiB
0.1.0 2025-04-20 source/ R- ImCluster_0.1.0.tar.gz 2.1 KiB

Dependencies (latest)

Imports