DESCRIPTION

Package: episcout
Title: Quickly Clean, Explore and Visualise Large Epidemiological Datasets
Version: 0.1.2
Authors@R: 
    person(given = "Antonio",
           family = "Berlanga-Taylor",
           role = c("aut", "cre"),
           email = "antoniojberlanga@gmail.com")
Description: Facilitates cleaning, exploring and visualising large-ish datasets (hundreds of thousands to millions of observations with tens to hundreds of variables). These are mostly wrapper and convenience functions to pre-process (wrangle, explore, clean, etc.) data-sets. Assumes you're happy with tidyverse and the basics of data.table. 
License: GPL-3
Encoding: UTF-8
LazyData: true
Language: en-GB
Imports: 
    utils,
    stats,
    grDevices,
    magrittr,
    rlang (>= 0.1.2),
    broom,
    dplyr,
    tibble,
    tidyr
Suggests: 
    data.table,
    compare,
    stringi,
    stringr,
    lubridate,
    purrr,
    e1071,
    Hmisc,
    ggplot2,
    cowplot,
    knitr,
    rmarkdown,
    testthat,
    scales,
    grid,
    ggthemes,
    future,
    doFuture,
    foreach,
    iterators,
    parallel,
    vdiffr,
    reshape2,
    covr,
    roxygen2
Roxygen: list(markdown = TRUE)
VignetteBuilder: knitr
RoxygenNote: 7.3.2