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: 2026-10-13 04:36:59 UTC; iasri
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: CRAN
Date/Publication: 2026-10-21 17:30:09 UTC
Built: R 4.6.1; ; 2026-10-21 20:24:58 UTC; unix
