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snSMART
View on CRAN: Click
here
Download and install snSMART package within the R console
Install from CRAN:
install.packages("snSMART")
Install from Github:
library("remotes")
install_github("cran/snSMART")
Install by package version:
library("remotes")
install_version("snSMART", "0.2.4")
Attach the package and use:
library("snSMART")
Maintained by
Michael Kleinsasser
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-26
Latest Update: 2023-07-19
Description:
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>.
How to cite:
Michael Kleinsasser (2022). snSMART: Small N Sequential Multiple Assignment Randomized Trial Methods. R package version 0.2.4, https://cran.r-project.org/web/packages/snSMART. Accessed 31 Jan. 2025.
Previous versions and publish date:
Other packages that cited snSMART R package
View snSMART citation profile
Other R packages that snSMART depends,
imports, suggests or enhances
Complete documentation for snSMART
Functions, R codes and Examples using
the snSMART R package
Some associated functions: BJSM_binary . BJSM_c . LPJSM_binary . data_binary . data_dose . group_seq . groupseqDATA_full . groupseqDATA_look1 . sample_size . snSMART-package . summary.BJSM_binary . summary.BJSM_dose_binary . summary.group_seq . trialDataMF .
Some associated R codes: BJSM_binary.R . BJSM_c.R . JSRM_binary.R . bug_files.R . data.R . globalVariables.R . group_seq.R . sample_size.R . snSMART-package.R . Full snSMART package functions and examples
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