Imports: mosaicCore, rlang, magrittr, tibble, stringr, dplyr, grid
Suggests: lattice, mosaic, mosaicModel, mosaicData, testthat, knitr,
rmarkdown, lubridate, survival, broom, scales, maps, maptools,

Imports: mosaicCore, rlang, magrittr, tibble, stringr, tidyr, grid
Suggests: dplyr, lattice, mosaic, mosaicModel, mosaicData, testthat,
vdiffr, knitr, rmarkdown, lubridate, survival, broom, scales,
maps, maptools, rgeos, sf, purrr, ggthemes

Suggests: mosaicData, dplyr, lattice, mosaic, mosaicModel, testthat,

Imports: mosaicCore, rlang, magrittr, tibble, stringr, tidyr, ggforce,

Imports: mosaicCore, rlang, magrittr, tibble, stringr, ggforce, grid
Suggests: tidyr, mosaicData, dplyr, lattice, mosaic, mosaicModel,
scales, maps, maptools, rgeos, sf, purrr, ggthemes, covr,

Title: Data Visualization Tools for Statistical Analysis Results
Description: Unified plotting tools for statistics commonly used, such as GLM, time series, PCA families, clustering and survival analysis. The package offers a single plotting interface for these analysis results and plots in a unified style using 'ggplot2'.
Depends: methods, grid, scales, proto, ggplot2
Imports: dplyr (>= 0.3), tidyr, gridExtra
Suggests: testthat, cluster, changepoint, dlm, fGarch, forecast,
grDevices, KFAS, knitr, MASS, MSwM, nlme, stats, strucchange,
survival, timeSeries, tseries, utils, vars, xts, zoo, lfda

Author: Masaaki Horikoshi <sinhrks@gmail.com> and Yuan Tang
Description: Unified plotting tools for statistics commonly used, such as GLM,
time series, PCA families, clustering and survival analysis. The package offers
a single plotting interface for these analysis results and plots in a unified
Imports: dplyr (>= 0.3), tidyr, gridExtra, scales
glmnet, grDevices, KFAS, knitr, MASS, MSwM, nlme, stats,
strucchange, survival, timeSeries, tseries, utils, vars, xts,

ggrepel, glmnet, grDevices, KFAS, knitr, mapdata, MASS, MSwM,
nlme, sp, stats, strucchange, survival, timeSeries, tseries,

person("Masaaki", "Horikoshi", role = c("aut", "cre"),
person("Yuan", "Tang", role = c("aut", "cph"),
Imports: dplyr (>= 0.3), tidyr, gridExtra, grid, scales, tibble
nlme, raster, sp, stats, strucchange, survival, timeSeries,