calculated on each timestep. The new version 1.0.0 has C++ code
integration to make the functions run faster. It has also a higher level
function to actually run the transitions for the number of timesteps
that users specify. Additional functions will follow for changing

Depends: R (>= 2.15.1), methods, RODBC, MASS
Description: Functionality required to efficiently use R with
IBM DB2(C) for Linux, Unix and Windows as well as IBM dashDB(C).
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

Depends: R (>= 2.15.1), methods, RODBC, MASS, Matrix, arules

Depends: R (>= 2.15.1), methods, RODBC, Matrix, arules

Imports: MASS, rpart, rpart.plot, ggplot2
IBM DB2(C) for Linux, Unix and Windows, IBM dashDB(C) as well as
DB2 for z/OS (C) in conjunction with IBM DB2 Analytics Accelerator (C).
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.

Package: ibmdbR
Version: 1.49.0
Title: IBM in-Database Analytics for R
Author: Alexander Eckert [aut, cre], Toni Bollinger [aut], Michael Wurst [aut], Craig Blaha [ctb] (documentation), IBM Corporation [cph]
Authors@R: c(
person("Alexander", "Eckert", role = c("aut", "cre"), email = "inza@de.ibm.com"),
person("Toni", "Bollinger", role = c("aut")),
person("Michael", "Wurst", role = c("aut")),
person("Craig", "Blaha", role = c("ctb"), comment = "documentation"),
person("IBM Corporation", role = c("cph"), email = "inza@de.ibm.com")
)
Maintainer: Alexander Eckert <inza@de.ibm.com>
Depends: R (>= 2.15.1), methods, RODBC, Matrix, arules
Imports: MASS, rpart, rpart.plot, ggplot2
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.
License: GPL-3
LazyLoad: Yes
NeedsCompilation: no
Repository: CRAN
Packaged: 2017-07-19 14:49:51 UTC; alexander
Date/Publication: 2017-07-19 16:00:25 UTC