DynTxRegime

cranv4.16

Methods for Estimating Optimal Dynamic Treatment Regimes. Methods to estimate dynamic treatment regimes using Interactive Q-Learning, Q-Learning, weighted learning, and value-search methods based on Augmented Inverse Probability Weighted Estimators and Inverse Probability Weighted Estimators. Dynamic Treatment Regimes: Statistical Methods for Precision Med

License GPL-2strong copyleft0 versions1 maintainers6 deps844 weekly dl
https://CRAN.R-project.org/package=DynTxRegime
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[email protected] is safe to use (health: 40/100)

Health breakdown0 – 100
10/25
maintenance
3/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2025-05-03 19:52:11

Last updated · 2025-05-03T18:20:02+00:00

DynTxRegime — Health Score 40/100 | DepScope