Packaged: 2018-02-09 11:55:31 UTC; msignorelli

Packaged: 2018-02-23 14:09:24 UTC; msignorelli

Packaged: 2020-01-09 13:43:36 UTC; msignorelli

Packaged: 2020-10-22 09:44:22 UTC; msignorelli
Author: Mirko Signorelli [aut, cre, cph]

Packaged: 2021-01-06 14:31:45 UTC; msignorelli

Description: Collapse, partition, combine, fill gaps in and expand date/time ranges.

Title: Neat and Painless Statistical Reporting
"Kleinberg", email = "bennettkleinberg@gmail.com", role = c("ctb"), comment =
Description: User-friendly, clear and simple statistics, primarily for
publication in psychological science. The main functions are wrappers for
other packages, but there are various additions as well. Every relevant step
from data aggregation to reportable printed statistics is covered for basic
Imports: bayestestR, pROC, MBESS, ez, BayesFactor, Exact, ggplot2,
Author: Gáspár Lukács [aut, cre] (<https://orcid.org/0000-0001-9401-4830>),

"JohnnyDoorn@gmail.com", role = c("ctb"), comment = c(ORCID =
Imports: viridis, fBasics, data.table, bayestestR, pROC, MBESS, car,
ez, Exact, BayesFactor, ggplot2, ggpubr, logspline, grDevices,
Johnny van Doorn [ctb] (<https://orcid.org/0000-0003-0270-096X>)

Imports: PoweR, plyr, bayestestR, pROC, MBESS, car, ez, BayesFactor,
Exact, ggplot2, ggpubr, logspline, grDevices, stats, graphics

Imports: viridis, PoweR, plyr, bayestestR, pROC, MBESS, car, ez,
BayesFactor, Exact, ggplot2, ggpubr, logspline, grDevices,

Imports: viridis, fBasics, plyr, bayestestR, pROC, MBESS, car, ez,

Title: Heatmaps for Multiple Network Data
Authors@R: person("Phil", "Boileau", role = c("aut", "cre"), email = "philippe.boileau@mail.concordia.ca")
Description: Simplify the exploratory data analysis process for multiple network data sets with the help
of hierarchical clustering and heatmaps. Contains the tools necessary to convert the raw data
of multiple networks into a single dynamic report that summarizes many of the relationships
of their graph, node and structural characteristics.
Imports: igraph, stats, heatmaply, pvclust, ggplot2, dendextend,