Title: Langmuir Semi-Empirical Coagulation Model
person("Benjamin", "Trueman", role = "aut", comment = c(ORCID = "0000-0002-1539-3092")),
person("William", "Raseman", role = "aut", comment = c(ORCID = "0000-0001-5946-8888")),
person("Marc", "Edwards", role = "ctb"),
Langmuir-based semi-empirical coagulation model, which predicts the concentration
of organic carbon remaining in water after treatment with an Al- or Fe-based
coagulant. Data and methods are provided to optimise empirical coefficients.
Imports: rlang, tibble, broom, cli, withr, glue
Author: Dewey Dunnington [aut, cre] (<https://orcid.org/0000-0002-9415-4582>),

Packaged: 2022-09-01 01:57:26 UTC; deweydunnington

Title: Exploring Election and Census Highly Informative Data Nationally
Description: Data from the 2013 Australian Federal Election (House of
Representatives) and the 2011 Australian Census. Includes tools for
visualizing and analysing the data. This package incorporates
data that is copyright Commonwealth of Australia (Australian
Imports: dplyr, ggplot2 (>= 2.0.0), tidyr, shiny, plotly (>= 3.5.2),
Suggests: testthat, knitr, rmarkdown, maptools, purrr, sp, GGally,
corrplot, broom, plyr, scales, readr, gridExtra
Authors@R: c(person("Di", "Cook",       role = c("aut")),
person("Heike", "Hofmann", role = c("aut")),
person("Rob", "Hyndman",   role = c("aut")),
person("Thomas", "Lumley", role = c("aut")),
person("Ben", "Marwick",   role = c("aut", "cre"), email = "benmarwick@gmail.com"),
person("Carson", "Sievert", role = c("aut")),
person("Nicholas", "Tierney", role = c("aut")),
person("Nathaniel", "Tomasetti", role = c("aut")),
person("Fang", "Zhou", role = c("aut")),
person("Commonwealth of Australia", "AEC", role = c("cph")))

Description: Data from the 2013 and 2016 Australian Federal Election (House of
Imports: dplyr, ggplot2, tidyr, shiny, plotly (>= 4.5.6), ggthemes,
shinyjs, methods, rvest, xml2, rmapshaper, rgdal
Suggests: testthat, knitr, rmarkdown, maptools, purrr, purrrlyr, sp,
GGally, corrplot, broom, plyr, scales, readr, gridExtra
person("Anthony", "Ebert", role = c("aut")),
person("Mingzhu", "Sun", role = c("aut")),
person("Dilini", "Talagala", role = c("aut")),
person("Earo", "Wang", role = c("aut")),