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bdlim: Bayesian Distributed Lag Interaction Models
Estimation and interpretation of Bayesian distributed lag interaction models (BDLIMs). A BDLIM regresses a scalar outcome on repeated measures of exposure and allows for modification by a categorical variable under four specific patterns of modification. The main function is bdlim(). There are also summary and plotting files. Details on methodology are described in Wilson et al. (2017) <doi:10.1093/biostatistics/kxx002>.
Getting started
Browse package contents
Package details |
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| Author | Ander Wilson [aut, cre] (ORCID: <https://orcid.org/0000-0003-4774-3883>) |
| Maintainer | Ander Wilson <ander.wilson@colostate.edu> |
| License | GPL (>= 3) |
| Version | 0.5.0 |
| URL | https://anderwilson.github.io/bdlim/ https://github.com/AnderWilson/bdlim/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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