Package: DetectOutlier
Type: Package
Title: Detect Outliers in Data Frames and Export Results
Version: 0.1.1
Authors@R: c(person("Prakash","Kumar",role=c("aut","cre"),email="prakash289111@gmail.com"),
             person(c("Himadri","Sekhar"),"Roy",role="aut"),
             person(c("Ranjit","Kumar"),"Paul",role="aut"),
             person("Md.","Yeasin",role="aut"),
             person(c("Paritosh","Kumar"),"ICAR-NIASM",role="aut"),
             person(c("Amrit","Kumar"),"Paul",role="aut"))
Maintainer: Prakash Kumar <prakash289111@gmail.com>
Description: Identifies potential outliers in numeric columns of a data
        frame using the interquartile range (IQR), defined as the
        difference between the third and first quartiles. Values below
        the first quartile minus 1.5 times the IQR or above the third
        quartile plus 1.5 times the IQR are flagged as potential
        outliers. The package can export rows containing outliers to
        comma-separated values (CSV) files and create 'Excel' workbooks
        with outlier values highlighted and a summary of outlier
        counts.
Depends: R (>= 4.0)
Imports: openxlsx
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-10-21 20:50:43 UTC; root
Author: Prakash Kumar [aut, cre], Himadri Sekhar Roy [aut], Ranjit
        Kumar Paul [aut], Md. Yeasin [aut], Paritosh Kumar ICAR-NIASM
        [aut], Amrit Kumar Paul [aut]
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-21 17:30:09 UTC
RemoteUrl: https://github.com/cran/DetectOutlier
RemoteRef: HEAD
RemoteSha: 359e17bd3569b0090d8a456a82d342c8495ee599