dingjshi/ALMOND: Bayesian Analysis of Local Average Treatment Effect (LATE) for Missing or/and Nonnormal Data (ALMOND)
Using Bayesian robust two-stage causal models with instrumental variables to estimate the Local Average Treatment Effect and simultaneously handle the nonnormal and missing data.
Getting started
Browse package contents
Package details |
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| Author | Dingjing Shi [aut, cre], Xin Tong [ctb], M. Joseph Meyer [ctb] |
| Maintainer | Dingjing Shi <ds4ue@virginia.edu> |
| License | GPL (>= 3.0) |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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