Title: Call 'EPANET' Functions to Simulate Pipe Networks
person("Bradley", "Eck", email="brad@bradeck.net", role = c('aut','cre')),
person("Open Water Analytics", role = 'cph')
Description: Enables simulation of water piping networks using 'EPANET'.
The package provides functions from the 'EPANET' programmer's toolkit as R
functions so that basic or customized simulations can be carried out from R.
The package uses 'EPANET' version 2.1 from Open Water Analytics

person("Marios", "Kyriakou", role = 'ctb'),
The package uses 'EPANET' version 2.2 from Open Water Analytics

Description: Reads water network simulation data in Epanet's
text-based '.inp' and '.rpt' formats into R.  Basic summary information and plots
are also available. The README file has a quick introduction.   See
http://www2.epa.gov/water-research/epanet for more information on the Epanet
software for modeling hydraulic and water quality behavior of water piping

Description: Reads water network simulation data in Epanet's text-based
'.inp' and '.rpt' formats into R. Also reads results from Epanet-msx.
Provides basic summary information and plots.
The README file has a quick introduction. See http://www2.epa.gov/
water-research/epanet for more information on the Epanet software for modeling
hydraulic and water quality behavior of water piping systems.

Description: Reads water network simulation data in 'Epanet' text-based
'.inp' and '.rpt' formats into R. Also reads results from 'Epanet-msx'.
Provides basic summary information and plots.  The README file has a
for more information on the 'Epanet' software for modeling

Suggests: testthat, epanet2toolkit, Kmisc (>= 0.5.0)
for more information on the Epanet software for modeling

Suggests: testthat, epanet2toolkit, data.table (>= 1.11.2)

Title: Exploratory Principal Component Analysis
Exploratory principal component analysis for large-scale dataset, including sparse principal component analysis and sparse matrix approximation.
Imports: clue, irlba, imager, matlab, Matrix, RSpectra, tidyverse,
Suggests: elasticnet, ggcorrplot, rmarkdown, markdown, reshape2,
Author: Fan Chen [aut, cre] (<https://orcid.org/0000-0003-4508-6023>)