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:
CompAREdesign_2.4.0.tar.gz
CompAREdesign_2.4.0.zip(r-4.5)CompAREdesign_2.4.0.zip(r-4.4)CompAREdesign_2.4.0.zip(r-4.3)
CompAREdesign_2.4.0.tgz(r-4.5-any)CompAREdesign_2.4.0.tgz(r-4.4-any)CompAREdesign_2.4.0.tgz(r-4.3-any)
CompAREdesign_2.4.0.tar.gz(r-4.5-noble)CompAREdesign_2.4.0.tar.gz(r-4.4-noble)
CompAREdesign_2.4.0.tgz(r-4.4-emscripten)CompAREdesign_2.4.0.tgz(r-4.3-emscripten)
CompAREdesign.pdf |CompAREdesign.html✨
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
Last updated 9 days agofrom:209fdfef64. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 06 2025 |
| R-4.5-win | OK | Mar 06 2025 |
| R-4.5-mac | OK | Mar 06 2025 |
| R-4.5-linux | OK | Mar 06 2025 |
| R-4.4-win | OK | Mar 06 2025 |
| R-4.4-mac | OK | Mar 06 2025 |
| R-4.4-linux | OK | Mar 06 2025 |
| R-4.3-win | OK | Mar 06 2025 |
| R-4.3-mac | OK | Mar 06 2025 |
Exports:ARE_cbeARE_tteCopulaSelectiondClaytondFGMdFrankdGumbeldNormaleffectsize_cbeeffectsize_ttef_simfreedman_formulaget_prob1lower_corrMarginalsSelectionplot_tteprob_cbesamplesize_cbesamplesize_tteschoenfeld_formulasimula_cbesimula_tteSstarSstar_func_percsurv_tteupper_corr
Dependencies:abindADGofTestbackportsbootbroomcarcarDataclicolorspacecopulacorrplotcowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragslgtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpcaPPpillarpkgconfigpolynompsplinepurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrootSolverstatixscalesSparseMstablediststringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
CompAREdesign: Binary endpoints
Rendered frombinary_endpoints.Rmdusingknitr::rmarkdownon Mar 06 2025.Last update: 2025-03-05
Started: 2025-03-05
CompAREdesign: Simulations
Rendered fromsimulations.Rmdusingknitr::rmarkdownon Mar 06 2025.Last update: 2025-03-05
Started: 2025-03-05
CompAREdesign: Time-to-event endpoints
Rendered fromtime_to_event_endpoints.Rmdusingknitr::rmarkdownon Mar 06 2025.Last update: 2025-03-05
Started: 2025-03-05
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ARE method for composite binary endpoints | ARE_cbe |
| ARE method for composite time to event endpoints | ARE_tte |
| Effect for composite binary endpoints | effectsize_cbe |
| Effect for composite time-to-event endpoints | effectsize_tte |
| Lower bound for Pearson's Correlation | lower_corr |
| Plot graphics related to the composite endpoint. | plot_tte |
| Probability of composite binary endpoints | prob_cbe |
| Sample size for composite binary endpoints | samplesize_cbe |
| Sample size for composite time to event endpoints | samplesize_tte |
| Simulation of binary composite endpoints | simula_cbe |
| Simulation of composite time-to-event endpoints | simula_tte |
| Survival function for composite time-to-event endpoints | surv_tte |
| Upper bound for Pearson's Correlation | upper_corr |
