awstringer1/casecrossover: Approximate Bayesian Inference for Case Crossover Models
Implementation of the methodology described in ... This package fits case crossover models with linear or smooth terms for covariate effects, using approximate Bayesian inference. Marginal posterior summaries are returned by default, and functions are provided for more advanced computations like global confidence envelopes and samples.
Getting started
Browse package contents
Package details |
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| Maintainer | Alex Stringer <alex.stringer@mail.utoronto.ca> |
| License | GPL-3 |
| 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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