person("Daniel", "Barnett", role = "aut"),
person("Simon", "Anastasiadis", role = "ctb", comment = "Social Wellbeing Agency, NZ")
Imports: boot, chron, colorspace, dichromat, emmeans, grDevices, grid,
hexbin, hms, iNZightMR (>= 2.2.5), iNZightTools (>= 1.9),
lubridate, magrittr, quantreg, rlang, s20x, scales, stats,
Suggests: covr, dplyr, forcats, ggbeeswarm, ggmosaic, ggplot2,
ggridges, ggthemes, gridSVG (>= 1.7-2), hextri, jsonlite,
knitr, plotly, RColorBrewer, testthat, tidyr, viridis, waffle
Simon Anastasiadis [ctb] (Social Wellbeing Agency, NZ)

Title: Tools for Exploring Regression Models with 'iNZight'
person("Simon", "Potter", role = c("aut")),
Imports: car, dplyr, ggplot2, ggrepel, ggtext, graphics, grDevices,
grid, iNZightPlots (>= 2.12), iNZightTools (>= 1.9), magrittr,
multcomp, patchwork, stats, stats4, utils
Suggests: covr, survey, survival, testthat
Description: Provides a suite of functions to use with regression models, including summaries, residual plots, and factor comparisons. Used as part of the Model Fitting module of 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions.

grid, iNZightPlots (>= 2.12), multcomp, patchwork, stats,
Suggests: covr, iNZightTools (>= 1.9), survey, survival, testthat

grid, iNZightPlots (>= 2.13), multcomp, patchwork, stats,

person("Junjie", "Zeng",    role = "aut"),
person("Simon", "Potter",   role = "aut"),
person("David", "Banks",    role = "aut"),
person("Marco", "Kuper",    role = "aut"),
person("Dongning", "Zhang", role = "ctb")
Imports: methods, grid, gridExtra, grDevices, graphics, stats, utils,
ggplot2, tidyr, dplyr, forcats, magrittr, egg, rlang
Description: Provides a collection of functions for working with time series data, including functions for drawing, decomposing, and forecasting. Includes capabilities to compare multiple series and fit both additive and multiplicative models. Used by 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions. Holt (1957) <doi:10.1016/j.ijforecast.2003.09.015>, Winters (1960) <doi:10.1287/mnsc.6.3.324>, Cleveland, Cleveland, & Terpenning (1990) "STL: A Seasonal-Trend Decomposition Procedure Based on Loess".