Package: DisimForMixed 0.2

Hasanthi A. Pathberiya

DisimForMixed: Calculate Dissimilarity Matrix for Dataset with Mixed Attributes

Implement the methods proposed by Ahmad & Dey (2007) <doi:10.1016/j.datak.2007.03.016> in calculating the dissimilarity matrix at the presence of mixed attributes. This Package includes functions to discretize quantitative variables, calculate conditional probability for each pair of attribute values, distance between every pair of attribute values, significance of attributes, calculate dissimilarity between each pair of objects.

Authors:Hasanthi A. Pathberiya

DisimForMixed_0.2.tar.gz
DisimForMixed_0.2.tar.gz(r-4.5-noble)DisimForMixed_0.2.tar.gz(r-4.4-noble)
DisimForMixed_0.2.tgz(r-4.4-emscripten)DisimForMixed_0.2.tgz(r-4.3-emscripten)
DisimForMixed.pdf |DisimForMixed.html
DisimForMixed/json (API)

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

Peer review:

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

1.00 score 6 scripts 151 downloads 6 exports 17 dependencies

Last updated 9 years agofrom:228ad5d354. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 10 2024
R-4.5-linuxOKDec 10 2024

Exports:calcCondProbcalcDissimMatdiscretizeQuantdistBetPairsfindMaxsignifOfQuantVars

Dependencies:cliclusterdplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr