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.zip(r-4.7-any)DisimForMixed_0.2.zip(r-4.6-any)
DisimForMixed_0.2.tar.gz(r-4.7-any)DisimForMixed_0.2.tar.gz(r-4.6-any)
DisimForMixed_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
DisimForMixed/json (API)

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

On CRAN:

Conda:

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 287 downloads 6 exports 16 dependencies

Last updated from:228ad5d354. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK110
source / vignettesOK332
linux-releaseOK131
windows-develOK56
windows-releaseOK55
wasm-releaseOK104

Exports:calcCondProbcalcDissimMatdiscretizeQuantdistBetPairsfindMaxsignifOfQuantVars

Dependencies:cliclusterdplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr