SMARTbayesR
2.0.0Bayesian Set of Best Dynamic Treatment Regimes and Sample Size in SMARTs for Binary Outcomes
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2.5Kdownloads / year
–test coverage
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Overview
About
Permits determination of a set of optimal dynamic treatment regimes and sample size for a SMART design in the Bayesian setting with binary outcomes. Please see Artman (2020) arXiv:2008.02341.
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CRAN checks
2NOTE11OK
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- NOTE r-devel-linux-x86_64-debian-clang
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None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
Dependencies · direct
Check history
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
- Examples that run
- 80%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
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Also on97 r2u21 autocran
Dependencies
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3 external dependencies (excludes base and recommended)
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none
Imports (3)
statsutilsLaplacesDemon
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Package metadata
- First published
- 2020-11-04
- Total releases
- 4 / 6 yrs
- License
- GPL-3 OSI
- Download size
- 23 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet