A framework for defining 'pipelines' of functions for applying data transformations, model estimation and inverse-transformations, resulting in predicted value generation (or model-scoring) functions that automatically apply the entire pipeline of functions required to go from input to predicted output.

Documentation

Manual: pipeliner.pdf
Vignette: Introduction

Maintainer: Alex Ioannides <alex.ioannides at yahoo.co.uk>

Author(s): Alex Ioannides

Install package and any missing dependencies by running this line in your R console:

install.packages("pipeliner")

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Suggests knitr, testthat, rmarkdown, modelr, tidyverse
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Package pipeliner
Materials
URL https://github.com/alexioannides/pipeliner
Task Views
Version 0.1.1
Published 2016-12-19
License Apache License 2.0
BugReports https://github.com/alexioannides/pipeliner/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks pipeliner check results
Package source pipeliner_0.1.1.tar.gz