Package: snSMART 0.2.4
snSMART: Small N Sequential Multiple Assignment Randomized Trial Methods
Consolidated data simulation, sample size calculation and analysis functions for several snSMART (small sample sequential, multiple assignment, randomized trial) designs under one library. See Wei, B., Braun, T.M., Tamura, R.N. and Kidwell, K.M. "A Bayesian analysis of small n sequential multiple assignment randomized trials (snSMARTs)." (2018) Statistics in medicine, 37(26), pp.3723-3732 <doi:10.1002/sim.7900>.
Authors:
snSMART_0.2.4.tar.gz
snSMART_0.2.4.tar.gz(r-4.5-noble)snSMART_0.2.4.tar.gz(r-4.4-noble)
snSMART_0.2.4.tgz(r-4.4-emscripten)snSMART_0.2.4.tgz(r-4.3-emscripten)
snSMART.pdf |snSMART.html✨
snSMART/json (API)
# Install 'snSMART' in R: |
install.packages('snSMART', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sidiwang/snsmart/issues
- data_binary - Dataset with binary outcomes
- data_dose - Dose Level dataset with binary outcomes
- groupseqDATA_full - Group sequential full data
- groupseqDATA_look1 - Group sequential data look 1
- trialDataMF - Dataset with continuous outcomes
Last updated 2 months agofrom:991b523ebb. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 16 2024 |
R-4.5-linux | OK | Nov 16 2024 |
Exports:BJSM_binaryBJSM_cgroup_seqLPJSM_binaryprint.BJSM_binaryprint.BJSM_cprint.BJSM_dose_binaryprint.group_seqprint.LPJSM_binaryprint.sample_sizeprint.summary.BJSM_binaryprint.summary.BJSM_cprint.summary.BJSM_dose_binaryprint.summary.group_seqprint.summary.LPJSM_binaryprint.summary.sample_sizesample_size
Dependencies:backportsbayestestRbroomclicodacolorspacecondMVNormcpp11cubaturedatawizarddplyrEnvStatsevdfansifarvergeepackgenericsggplot2gluegtableHDIntervalinsightisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmenortestpillarpkgconfigpracmapurrrR6RColorBrewerRcpprjagsrlangscalesstringistringrtibbletidyrtidyselecttruncdistutf8vctrsviridisLitewithr