DESCRIPTION

Package: Augur
Title: Cell type prioritization in high-dimensional single-cell data
Version: 1.0.3
Authors@R: c(
  person("Michael", "Skinnider", email = "michael.skinnider@msl.ubc.ca",
         role = c("aut", "cre", "led")),
  person("Jordan", "Squair", email = "jordansquair@gmail.com",
         role = "aut"))
BugReports: https://github.com/neurorestore/Augur/issues
Description: Augur is an R package to identify cell types involved in complex biological processes from high-dimensional single-cell data.
Depends: R (>= 3.5.0)
Imports:
	dplyr (>= 0.8.0),
	purrr (>= 0.3.2),
	tibble (>= 2.1.3),
	magrittr (>= 1.5),
	tester (>= 0.1.7),
	Matrix (>= 1.2-14),
	sparseMatrixStats (>= 0.1.0),
	parsnip (>= 0.0.2),
	recipes (>= 0.1.4),
	rsample (>= 0.0.4),
	yardstick (>= 0.0.3),
	pbmcapply (>= 1.5.0),
	lmtest (>= 0.9-37),
	randomForest (>= 4.6-14),
	tidyselect (>= 0.2.5),
	rlang (>= 0.4.0),
	ggplot2 (>= 3.0.0),
	ggrepel (>= 0.8.2),
	pals (>= 1.6),
	scales (>= 1.1.1),
	tidyr (>= 1.1.2),
	glmnet (>= 3.0-2),
	viridis (>= 0.5.1),
	methods,
	stats,
	Rdpack (>= 0.7)
Suggests: knitr, Seurat, monocle3, SingleCellExperiment, SummarizedExperiment
VignetteBuilder: knitr
License: GPL-3 + file LICENSE
Encoding: UTF-8
RdMacros: Rdpack
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.0