Package: NCC 1.0
Pavla Krotka
NCC: Simulation and Analysis of Platform Trials with Non-Concurrent Controls
Design and analysis of flexible platform trials with non-concurrent controls. Functions for data generation, analysis, visualization and running simulation studies are provided. The implemented analysis methods are described in: Bofill Roig et al. (2022) <doi:10.1186/s12874-022-01683-w>, Saville et al. (2022) <doi:10.1177/17407745221112013> and Schmidli et al. (2014) <doi:10.1111/biom.12242>.
Authors:
NCC_1.0.tar.gz
NCC_1.0.tar.gz(r-4.5-noble)NCC_1.0.tar.gz(r-4.4-noble)
NCC_1.0.tgz(r-4.4-emscripten)NCC_1.0.tgz(r-4.3-emscripten)
NCC.pdf |NCC.html✨
NCC/json (API)
# Install 'NCC' in R: |
install.packages('NCC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pavlakrotka/ncc/issues
Pkgdown:https://pavlakrotka.github.io
Last updated 2 years agofrom:5af99152c8. Checks:OK: 1 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 03 2024 |
R-4.5-linux | NOTE | Dec 03 2024 |
Exports:all_modelsdatasim_bindatasim_contfixmodel_binfixmodel_cal_binfixmodel_cal_contfixmodel_contgam_contget_ss_matrixinv_u_trendlinear_trendMAPprior_binMAPprior_contmixmodel_AR1_cal_contmixmodel_AR1_contmixmodel_cal_contmixmodel_contpiecewise_cal_contpiecewise_contplot_trialpoolmodel_binpoolmodel_contseasonal_trendsepmodel_adj_binsepmodel_adj_contsepmodel_binsepmodel_contsim_studysim_study_parsplines_cal_contsplines_contsw_trendtimemachine_bintimemachine_cont
Dependencies:abindassertthatbackportsbayesplotBHbootcallrcheckmateclicodacodetoolscolorspacecrayoncurldescdistributionaldoParalleldplyrfansifarverforeachFormulagenericsgeometryggplot2ggridgesgluegmpgridExtragtableinlineisobanditeratorslabelinglatticelifecyclelinproglme4lmerTestloolpSolvemagicmagickmagrittrMASSMatrixmatrixStatsmgcvminqamunsellmvtnormnlmenloptrnumDerivparallellypbapplypillarpkgbuildpkgconfigplyrposteriorprocessxproxypsQuickJSRR6RBesTRColorBrewerRcppRcppEigenRcppParallelRcppProgressregistryreshape2rjagsrlangROIrstanrstantoolsscalesslamspaMMStanHeadersstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithr
How to run a simulation study
Rendered fromhow_to_run_sim_study.Rmd
usingknitr::rmarkdown
on Dec 03 2024.Last update: 2023-03-03
Started: 2023-03-03
How to simulate binary data
Rendered fromdatasim_bin.Rmd
usingknitr::rmarkdown
on Dec 03 2024.Last update: 2023-03-03
Started: 2023-03-03
How to simulate continuous data
Rendered fromdatasim_cont.Rmd
usingknitr::rmarkdown
on Dec 03 2024.Last update: 2023-03-03
Started: 2023-03-03
NCC Introduction
Rendered fromncc_intro.Rmd
usingknitr::rmarkdown
on Dec 03 2024.Last update: 2023-03-03
Started: 2023-03-03