Package: ibmdbR
Version: 1.51.0
Title: IBM in-Database Analytics for R
Authors@R: c(
    person("Shaikh", "Quader", role = c("aut", "cre"), email = "db2-analytics@de.ibm.com"),
    person("Toni", "Bollinger", role = c("aut")),
    person("Ming-pang", "Wei", role = c("aut")),
    person("Alexander", "Eckert", role = c("aut")),
    person("Michael", "Wurst", role = c("aut")),
    person("Craig", "Blaha", role = c("ctb"), comment = "documentation"),
    person("IBM Corporation", role = c("cph"), email = "db2-analytics@de.ibm.com")
    )
Depends: R (>= 2.15.1), methods, RODBC, Matrix, arules
Imports: MASS, rpart, rpart.plot
Suggests: ggplot2, knitr, SparkR
VignetteBuilder: knitr
Description: 
        Functionality required to efficiently use R with IBM(R) Db2(R)
        Warehouse offerings (formerly IBM dashDB(R)) and IBM Db2 for z/OS(R) in
        conjunction with IBM Db2 Analytics Accelerator for z/OS.
        Many basic and complex R operations are pushed down into the database, 
        which removes the main memory boundary of R and allows to make full 
        use of parallel processing in the underlying database.
        For executing R-functions in a multi-node environment in parallel the idaTApply() function
        requires the 'SparkR' package (<https://spark.apache.org/docs/latest/sparkr.html>).
        The optional 'ggplot2' package is needed for the plot.idaLm() function only.
License: GPL-3
LazyLoad: Yes
NeedsCompilation: no
Repository: CRAN
Packaged: 2023-11-23 22:17:18 UTC; mingpang
Author: Shaikh Quader [aut, cre],
  Toni Bollinger [aut],
  Ming-pang Wei [aut],
  Alexander Eckert [aut],
  Michael Wurst [aut],
  Craig Blaha [ctb] (documentation),
  IBM Corporation [cph]
Maintainer: Shaikh Quader <db2-analytics@de.ibm.com>
Date/Publication: 2023-11-24 09:10:02 UTC
Built: R 4.6.0; ; 2026-04-03 02:10:22 UTC; windows
