CRAN/E | NIMAA

NIMAA

Nominal Data Mining Analysis

Installation

About

Functions for nominal data mining based on bipartite graphs, which build a pipeline for analysis and missing values imputation. Methods are mainly from the paper: Jafari, Mohieddin, et al. (2021) doi:10.1101/2021.03.18.436040, some new ones are also included.

github.com/jafarilab/NIMAA
Bug report File report

Key Metrics

Version 0.2.1
R ≥ 3.5.0
Published 2022-04-11 745 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks NIMAA results

Downloads

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Maintainer

Maintainer

Mohieddin Jafari

mohieddin.jafari@helsinki.fi

Authors

Mohieddin Jafari

aut / cre

Cheng Chen

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

NIMAA-vignette

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

NIMAA archive

Depends

R ≥ 3.5.0

Imports

plotly
tidyr
bipartite
crayon
dplyr
ggplot2
igraph
purrr
skimr
bnstruct
RColorBrewer
fpc
mice
missMDA
networkD3
scales
softImpute
tibble
tidytext
visNetwork
stats

Suggests

knitr
utils
rmarkdown
htmltools
testthat ≥ 3.0.0