Package: maraca 0.7

Monika Huhn

maraca: The Maraca Plot: Visualization of Hierarchical Composite Endpoints in Clinical Trials

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) <doi:10.1177/17407745221134949>.

Authors:Martin Karpefors [aut], Samvel B. Gasparyan [aut], Stefano Borini [ctb], Monika Huhn [aut, cre]

maraca_0.7.tar.gz
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maraca.pdf |maraca.html✨
maraca/json (API)
NEWS

# Install 'maraca' in R:
install.packages('maraca', repos = c('https://astrazeneca.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/astrazeneca/maraca/issues

Datasets:

On CRAN:

5.94 score 3 stars 16 scripts 206 downloads 5 exports 40 dependencies

Last updated 8 months agofrom:9af72cd386. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winOKNov 13 2024
R-4.5-linuxOKNov 13 2024
R-4.4-winOKNov 13 2024
R-4.4-macOKNov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:component_plotcumulative_plotmaracaplot_maracavalidate_maraca_plot

Dependencies:backportscheckmateclicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtablehceisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepatchworkpillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Maraca Plots - Alternative Endpoints

Monika Huhn

Rendered fromotherEndpoints.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-03-15
Started: 2024-03-15

Maraca Plots - Basic Usage

Martin Karpefors, Samvel B. Gasparyan, Stefano Borini

Rendered frommaraca.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-03-15
Started: 2022-08-12

Maraca Plots - Frequently Asked Questions

Martin Karpefors, Stefano Borini, Monika Huhn

Rendered fromfaq.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-03-15
Started: 2022-08-19

Maraca Plots - Plotting win odds

Monika Huhn

Rendered fromwinOdds.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-03-15
Started: 2023-11-08

Maraca Plots - Themes and Styling

Monika Huhn

Rendered fromthemes.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-03-15
Started: 2023-11-08

Maraca Plots - Validation

Monika Huhn

Rendered fromvalidation.Rmdusingknitr::rmarkdownon Nov 13 2024.

Last update: 2024-03-15
Started: 2023-11-08

Readme and manuals

Help Manual

Help pageTopics
Function to create a plot showing the components used in calculating win odds (wins and ties) separately for each outcome for a hierarchical endpoint.component_plot
Generic function to create a plot showing the components used in calculating win odds (wins and ties) separately for each outcome directly from an hce object. Check the vignette "Maraca Plots - Plotting win odds" for more details.component_plot.hce
Generic function to create a plot showing the components used in calculating win odds (wins and ties) separately for each outcome directly from a maraca object. Note that for this plot, when creating the maraca object using the maraca() function, the argument "compute_win_odds" has to be set to TRUE. Check the vignette "Maraca Plots - Plotting win odds" for more details.component_plot.maraca
Function to create a plot showing the components used in calculating win odds (wins and ties) cumulated for all outcomes for a hierarchical endpoint.cumulative_plot
Generic function to create a plot showing the components used in calculating win odds (wins and ties) cumulated for all outcomes directly from an hce object. Check the vignette "Maraca Plots - Plotting win odds" for more details.cumulative_plot.hce
Generic function to create a plot showing the components used in calculating win odds (wins and ties) cumulated for all outcomes directly from a maraca object. Note that for this plot, when creating the maraca object using the maraca() function, the argument "compute_win_odds" has to be set to TRUE. Check the vignette "Maraca Plots - Plotting win odds" for more details.cumulative_plot.maraca
Example HCE scenario A.hce_scenario_a
Example HCE scenario B.hce_scenario_b
Example HCE scenario C.hce_scenario_c
Example HCE scenario D.hce_scenario_d
Example HCE scenario KCCQ3.hce_scenario_kccq3
maraca package.maraca-package maraca print.maraca
Creates and returns the plot of the maraca data.plot_maraca
Generic function to plot the hce object using plot().plot.hce
Generic function to plot the maraca object using plot().plot.maraca
Generic function to generate validation data for the maraca plot object.validate_maraca_plot