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maraca
View on CRAN: Click
here
Download and install maraca package within the R console
Install from CRAN:
install.packages("maraca")
Install from Github:
library("remotes")
install_github("cran/maraca")
Install by package version:
library("remotes")
install_version("maraca", "0.7")
Attach the package and use:
library("maraca")
Maintained by
Monika Huhn
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-05
Latest Update: 2023-10-24
Description:
Library that supports visual interpretation of hierarchical composite
endpoints (HCEs). HCEs are complex constructs used as primary endpoints in
clinical trials, combining outcomes of different types into ordinal endpoints,
in which each patient contributes the most clinically important event (one and
only one) to the analysis. See Karpefors M et al. (2022)
.
How to cite:
Monika Huhn (2022). maraca: The Maraca Plot: Visualization of Hierarchical Composite Endpoints in Clinical Trials. R package version 0.7, https://cran.r-project.org/web/packages/maraca. Accessed 21 Nov. 2024.
Previous versions and publish date:
Other packages that cited maraca R package
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Other R packages that maraca depends,
imports, suggests or enhances
Complete documentation for maraca
Functions, R codes and Examples using
the maraca R package
Some associated functions: component_plot.hce . component_plot.maraca . component_plot . hce_scenario_a . hce_scenario_b . hce_scenario_c . hce_scenario_d . hce_scenario_kccq3 . maraca . plot.hce . plot.maraca . plot_maraca . validate_maraca_plot .
Some associated R codes: aaa.R . general.R . internal.R . maraca.R . themes.R . winOddsPlots.R . Full maraca package functions and examples
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