glmnet, Matrix, neighbr, nnet, rpart, randomForest, rattle,
kernlab, e1071, testthat, survival, xgboost, knitr, rmarkdown,

Title: Transform input data from a PMML perspective
Description: Allows for data to be transformed before using it to
construct models. Builds structures to allow functions in the
'pmml' package to output transformation details in addition to

Title: Transforms input data from a PMML perspective
PMML package to output transformation details in addition to

Description: Allows for data to be transformed before using
it to construct models. Builds structures to allow functions in
the PMML package to output transformation details in
addition to the model in the resulting PMML file.

Author: Tridivesh Jena, Wen Ching Lin (Zementis, Inc.)

Title: Transforms Input Data from a PMML Perspective
Author: Tridivesh Jena, Wen Ching Lin, Dmitriy Bolotov (Zementis, Inc.)
Suggests: pmml (>= 1.5.0), knitr, testthat

Author: Tridivesh Jena, Wen Ching Lin, Dmitriy Bolotov
Description: Allows for data to be transformed before using it to construct models. Builds structures to allow functions in the PMML package to
output transformation details in addition to the model in the resulting PMML file. 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 <http://www.dmg.org>. The generated PMML can be imported into any PMML consuming application, such as Zementis Predictive Analytics products, which integrate with web services, relational database systems and deploy natively on Hadoop in conjunction with Hive, Spark or Storm, as well as allow predictive analytics to be executed for IBM z Systems mainframe applications and real-time, streaming analytics platforms.

Suggests: knitr, testthat, rmarkdown, pmml (<= 1.5.7)

Title: Create and Maintain a Relational Database of Data from
Authors@R: c(person('Jake', 'Hughey', , 'jakejhughey@gmail.com', c('aut', 'cre')),
person('Josh', 'Schoenbachler', , 'josh.schoenbachler@gmail.com', 'aut'),
Description: Provides a simple interface for extracting various elements from
the publicly available PubMed XML files, incorporating PubMed's regular
updates, and combining the data with the NIH Open Citation Collection. See
Schoenbachler and Hughey (2021) <doi:10.7717/peerj.11071>.
Suggests: bigrquery (>= 1.3.2), doParallel (>= 1.0.16), RMariaDB (>=
Packaged: 2022-04-27 18:01:09 UTC; joshuaschoenbachler