Description: Design single-case phase, alternation and multiple-baseline experiments, and conduct randomization tests on data gathered by means of such designs, as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>.

Description: A package to make graphical representations of single case
data and to transform graphical displays back to raw data. The
package also includes tools for visually analyzing single-case
data, by displaying central location, variability and trend.

Description: A package to make graphical representations of single case data and to transform graphical displays back to raw data. The package also includes tools for visually analyzing single-case data, by displaying central location, variability and trend.

Description: Make graphical representations of single case data and transform graphical displays back to raw data. The package also includes tools for visually analyzing single-case data, by displaying central location, variability and trend.

Description: Make graphical representations of single case data and transform graphical displays back to raw data, as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>. The package also includes tools for visually analyzing single-case data, by displaying central location, variability and trend.
Imports: ggExtra, ggplot2, graphics, plotly, scales, stats, utils

Maintainer: Marlene Silva Marchena <marchenamarlene@gmail.com>
Description: The package implements different inventory models, the
bullwhip effect and other supply chain performance variables.

Title: Functions for Planning and Managing Inventories in a Supply
Description: Implements different inventory models, the bullwhip effect and other supply chain performance variables. Marchena Marlene (2010) <arXiv:1009.3977>.

Title: Generate Publication Ready Visualizations of Single Cell
Authors@R: person("Enrique", "Blanco-Carmona", email = "scpubr@gmail.com", role = c("cre", "aut"), comment = c(ORCID = "0000-0002-1208-1691"))
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 aim 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: rlang, Seurat, ggplot2, tidyr, dplyr, colorspace, viridis,
pbapply, patchwork, Nebulosa, ggbeeswarm, scales, stringr,
Matrix (>= 1.3.3), rmarkdown, knitr, purrr, testthat (>=
3.0.0), SeuratObject, qpdf, covr, circlize, ComplexHeatmap,
ggrepel, forcats, svglite, ggrastr, ggtext, pheatmap, ggExtra,
ggplotify, scattermore, ggdist, tibble, plyr, graphics,
magrittr, ggridges, ggsignif, infercnv, rjags, rgdal,
Author: Enrique Blanco-Carmona [cre, aut]