# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "pmml" in publications use:'
type: software
license: GPL-3.0-only
title: 'pmml: Generate PMML for Various Models'
version: 2.6.0-1
doi: 10.32614/CRAN.package.pmml
abstract: The Predictive Model Markup Language (PMML) is an XML-based language which
  provides a way for applications to define machine learning, statistical and data
  mining models and to share models between PMML compliant applications. More information
  about the PMML industry standard and the Data Mining Group can be found at <https://dmg.org/>.
  The generated PMML can be imported into any PMML consuming application, such as
  Zementis Predictive Analytics products.
authors:
- family-names: Hahsler
  given-names: Michael
  email: mhahsler@lyle.smu.edu
- family-names: Rodrigues
  given-names: Bruno
- family-names: Bolotov
  given-names: Dmitriy
  email: dmitriy.bolotov@softwareag.com
- family-names: Jena
  given-names: Tridivesh
  email: tridivesh.jena@softwareag.com
- family-names: Williams
  given-names: Graham
  email: graham.williams@togaware.net
- family-names: Lin
  given-names: Wen-Ching
- family-names: Ishwaran
  given-names: Hemant
- family-names: Kogalur
  given-names: Udaya B.
- family-names: Guha
  given-names: Rajarshi
  email: rguha@indiana.edu
repository: https://mhahsler.r-universe.dev
repository-code: https://github.com/mhahsler/r-pmml
commit: fb3d426c4dd534fffcc88c7936033730622a185c
url: https://github.com/mhahsler/r-pmml
contact:
- family-names: Hahsler
  given-names: Michael
  email: mhahsler@lyle.smu.edu