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Functions for Bayesian analysis of data from randomized experiments with non-compliance. The functions are based on the models described in Imbens and Rubin (1997) <doi:10.1214/aos/1034276631>. Currently only two types of outcome models are supported: binary outcomes and normally distributed outcomes. Models can be fit with and without the exclusion restriction and/or the strong access monotonicity assumption. Models are fit using the data augmentation algorithm as described in Tanner and Wong (1987) <doi:10.2307/2289457>.
Package details |
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Author | Scott Coggeshall [aut, cre] |
Maintainer | Scott Coggeshall <sscogges@uw.edu> |
License | GPL-2 |
Version | 1.0 |
Package repository | View on CRAN |
Installation |
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