Description: A system that provides a streamlined way of generating publication ready plots for known Single-Cell transcriptomics data in a “publication ready” format. This is, the goal is to automatically generate plots with the highest quality possible, that can be used right away or with minimal modifications for a research article.
Suggests: Seurat, ggplot2, patchwork, dplyr, tidyr, tibble, magrittr,
stringr, assertthat, viridis, circlize, colorspace,
ComplexHeatmap, ggbeeswarm, ggdist, ggExtra, ggplotify,
ggrastr, ggrepel, ggridges, ggsignif, graphics, Nebulosa,
pheatmap, plyr, rlang, scales, scattermore, covr, forcats,
infercnv, knitr, Matrix, purrr, qpdf, rgdal, rjags, rmarkdown,

Suggests: assertthat, circlize, colorspace, covr, ComplexHeatmap,
dplyr, ggbeeswarm, ggdist, ggExtra, ggplot2, ggplotify,
ggrastr, ggrepel, ggridges, ggsignif, graphics, magrittr,
Nebulosa, patchwork, pheatmap, plyr, rlang, scales,
scattermore, Seurat, tibble, tidyr, forcats, infercnv, knitr,
Matrix, purrr, qpdf, rgdal, rjags, rmarkdown, stringr, svglite,
ggalluvial, testthat (>= 3.0.0), viridis

ggalluvial, testthat (>= 3.0.0), viridis, UCell (>= 2.0)

Title: Extensions for Synthetic Controls Analysis
Description: Extensions to the synthetic controls analyses
performed by the package 'Synth' as detailed in Abadie, Diamond, and Hainmueller (2011)
and plotting placebos, post/pre-MSPE (mean squared prediction error)
significance tests and plots, and calculating average treatment effects
for multiple treated units. This package represents an implementation of
those methods suggested in  Abadie, Diamond,and Hainmueller (2010) <doi:10.1198/jasa.2009.ap08746> for
Maintainer: Bruno Castanho Silva <bcsilva@wiso.uni-koeln.de>
Imports: ggplot2, Synth, stringr, stats, cvTools, furrr, dplyr, purrr
Suggests: testthat, covr, knitr, tidyr, rmarkdown

performed by the package 'Synth' as detailed in Abadie, Diamond, and Hainmueller (2011) <doi: 10.18637/jss.v042.i13>. Includes generating
and plotting placebos, post/pre-MSPE (Mean Squared Prediction Error) significance tests and plots,
and calculating average treatment effects for multiple treated units.
This package represents an implementation of those methods
Abadie, Diamond,and Hainmueller (2010) <doi:10.1198/jasa.2009.ap08746> for
Imports: ggplot2, Synth, stringr, stats, cvTools, furrr, dplyr, purrr,