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https://github.com/boyiguo1/bham

Bayesian Hierarchical Additive Models
https://github.com/boyiguo1/bham

additive-models bayesian r r-package rstats spike-and-slab

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Bayesian Hierarchical Additive Models

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README

          

---
output: github_document
---

```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
eval = F,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```

# BHAM

[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[![R-CMD-check](https://github.com/boyiguo1/BHAM/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/boyiguo1/BHAM/actions/workflows/R-CMD-check.yaml)

The goal of BHAM is to fit Bayesian hierarchical generalized additive models, and provide ancillary functions for high-dimensional model specification, model summary, variable selection, curve fitting.

## Installation

The development version from [GitHub](https://github.com/) with:

``` r
# install.packages("devtools")
devtools::install_github("boyiguo1/BHAM")
```
## Example

Please visit the [vignettes](https://boyiguo1.github.io/BHAM/articles/introduction.html) for a quick introduction