Package: CompAREdesign 2.4.0

CompAREdesign: Statistical Functions for the Design of Studies with Composite Endpoints

It has been designed to calculate the required sample size in randomized clinical trials with composite endpoints. It also calculates the expected effect and the probability of observing the composite endpoint, among others. The methodology can be found in Bofill & Gómez (2019) <doi:10.1002/sim.8092> and Gómez & Lagakos (2013) <doi:10.1002/sim.5547>.

Authors:Marta Bofill Roig [aut, cre], Jordi Cortes Martinez [aut], Guadalupe Gomez Melis [ctb]

CompAREdesign_2.4.0.tar.gz
CompAREdesign_2.4.0.zip(r-4.7-any)CompAREdesign_2.4.0.zip(r-4.6-any)CompAREdesign_2.4.0.zip(r-4.5-any)
CompAREdesign_2.4.0.tgz(r-4.6-any)CompAREdesign_2.4.0.tgz(r-4.5-any)
CompAREdesign_2.4.0.tar.gz(r-4.7-any)CompAREdesign_2.4.0.tar.gz(r-4.6-any)
CompAREdesign_2.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CompAREdesign/json (API)

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

Bug tracker:https://github.com/compare-composite/compare/issues

On CRAN:

Conda:

2.95 score 1 packages 2 scripts 320 downloads 26 exports 85 dependencies

Last updated from:209fdfef64. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK192
source / vignettesOK242
linux-releaseOK184
macos-releaseOK205
macos-oldrelOK203
windows-develOK110
windows-releaseOK116
windows-oldrelOK130
wasm-releaseOK124

Exports:ARE_cbeARE_tteCopulaSelectiondClaytondFGMdFrankdGumbeldNormaleffectsize_cbeeffectsize_ttef_simfreedman_formulaget_prob1lower_corrMarginalsSelectionplot_tteprob_cbesamplesize_cbesamplesize_tteschoenfeld_formulasimula_cbesimula_tteSstarSstar_func_percsurv_tteupper_corr

Dependencies:abindADGofTestbackportsbootbroomcarcarDatacliclustercolorspacecopulacorrplotcowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragslgtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvminqamodelrmvtnormnlmenloptrnnetnumDerivpbkrtestpcaPPpillarpkgconfigpolynompsplinepurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrootSolverstatixS7scalesSparseMstablediststringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo

CompAREdesign: Binary endpoints
Binary endpoint: TUXEDO TRIAL | Input Parameters | ARE: Asymptotic Relatively Efficiency | Effect size of the Composite Endpoint | Sample size | References
Rendered frombinary_endpoints.Rmdusingknitr::rmarkdown

Last update: 2025-03-05
Started: 2025-03-05

CompAREdesign: Simulations
Simulations | Simulation of composite time-to-event endpoints
Rendered fromsimulations.Rmdusingknitr::rmarkdown

Last update: 2025-03-05
Started: 2025-03-05

CompAREdesign: Time-to-event endpoints
Case study: ZODIAC Trial | Input Parameters | ARE: Asymptotic Relatively Efficiency | Effect size of the Composite Endpoint | Sample size | Influence of hazards rates over time on the effect size | Summary plots | References
Rendered fromtime_to_event_endpoints.Rmdusingknitr::rmarkdown

Last update: 2025-03-05
Started: 2025-03-05