BayesRegDTR

cranv1.1.2

Bayesian Regression for Dynamic Treatment Regimes. Methods to estimate optimal dynamic treatment regimes using Bayesian likelihood-based regression approach as described in Yu, W., & Bondell, H. D. (2023) <doi:10.1093/jrsssb/qkad016> Uses backward induction and dynamic programming theory for computing expected values. Offers options for future paral

License GPL (>= 3)0 versions1 maintainers7 deps58 weekly dl
jlimrasc/BayesRegDTR
42
/ 100
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safe to use

[email protected] is safe to use (health: 42/100)

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

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First published · 2025-11-27 09:53:04

Last updated · 2025-11-27T08:10:15+00:00

BayesRegDTR — Health Score 42/100 | DepScope