Relocates oversampled data from a specific oversampling method to
    cover area determined by pure and proper class cover catch digraphs (PCCCD). 
    It prevents any data to be generated in class overlapping area.

Provides a set of fast, chainable image-processing operations
             which are applicable to images of two, three or four dimensions,
             particularly medical images.

Containerizes cytometry data and allows for S4 class structure to extend slots related to cell morphology, spatial coordinates, phenotype network information, and unique cellular labeling.

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>.

Index of Multiple Deprivation for UK nations at various 
    geographical levels. In England, deprivation data is for Lower Layer Super
    Output Areas, Middle Layer Super Output Areas, Wards, and Local Authorities
    based on data from <https://www.gov.uk/government/statistics/english-indices-of-deprivation-2019>.
    In Wales, deprivation data is for Lower Layer Super Output Areas, Middle 
    Layer Super Output Areas, Wards, and Local Authorities based on data from
    <https://gov.wales/welsh-index-multiple-deprivation-full-index-update-ranks-2019>.
    In Scotland, deprivation data is for Data Zones, Intermediate Zones, and 
    Council Areas based on data from <https://simd.scot>. In Northern Ireland,
    deprivation data is for Super Output Areas and Local Government Districts
    based on data from <https://www.nisra.gov.uk/statistics/deprivation/northern-ireland-multiple-deprivation-measure-2017-nimdm2017>.
    The 'IMD' package also provides the composite UK index developed by
    <https://github.com/mysociety/composite_uk_imd>.