Imports: assertthat, autothresholdr (>= 1.3.7), BBmisc, checkmate (>=
Suggests: abind, covr, gridExtra, knitr, matrixStats (>= 0.50), pacman,
rmarkdown, spelling, testthat (>= 2.1), tidyr

Imports: assertthat, autothresholdr (>= 1.3.11), BBmisc, checkmate (>=

Title: Data Structures, Summaries, and Visualisations for Missing Data
person("Nicholas", "Tierney", , "nicholas.tierney@gmail.com", c("aut", "cre")),
person("Di", "Cook", , "dicook@monash.edu", role = "aut"),
person("Miles", "McBain", , "miles.mcbain@gmail.com", role = "aut"),
person("Colin", "Fay", , "contact@colinfay.me", role = "aut")
Description: Missing values are ubiquitous in data and need to be explored and
handled in the initial stages of analysis. 'naniar' provides data structures
and functions that facilitate the plotting of missing values and examination
of imputations. This allows missing data dependencies to be explored with
minimal deviation from the common work patterns of 'ggplot2' and tidy data.
Suggests: knitr, rmarkdown, testthat, rpart, rpart.plot, covr,
gridExtra, wakefield, vdiffr, here, simputation, imputeTS
Imports: dplyr, ggplot2, purrr, tidyr, tibble, magrittr, stats, visdat,

gridExtra, wakefield, vdiffr, here, simputation, imputeTS,
rlang, forcats, viridis, glue, tidyselect

The work is fully discussed at Tierney & Cook (2018) <arXiv:1809.02264>.
Suggests: knitr, rmarkdown, testthat (>= 2.1.0), rpart, rpart.plot,
covr, gridExtra, wakefield, vdiffr, here, simputation,

Imports: dplyr, ggplot2, purrr, tidyr, tibble (>= 2.0.0), magrittr,
stats, visdat, rlang, forcats, viridis, glue, UpSetR

Imports: dplyr, ggplot2, purrr, tidyr, tibble (>= 2.0.0), norm,
magrittr, stats, visdat, rlang, forcats, viridis, glue, UpSetR
Packaged: 2021-05-14 09:28:56 UTC; njtierney

Title: High-Level Data Analysis and Manipulation in 'tidyverse' Style
Includes wrapper functions for the main high-level data analysis and manipulations,
such as cluster, dimensionality reduction, redundancy elimination, identify variable elements.
It operates on tidy data frames with element, feature and value column.
Imports: lifecycle, magrittr, tibble, dplyr, tidyselect, purrr, rlang,
tidyr, methods, lme4, stats, utils, knitr, widyr, Rtsne, gtools
Suggests: testthat, Seurat, limma, GGally, ggplot2