https://github.com/boyiguo1/bham
Bayesian Hierarchical Additive Models
https://github.com/boyiguo1/bham
additive-models bayesian r r-package rstats spike-and-slab
Last synced: about 1 year ago
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Bayesian Hierarchical Additive Models
- Host: GitHub
- URL: https://github.com/boyiguo1/bham
- Owner: boyiguo1
- License: other
- Created: 2020-12-04T00:14:01.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-01-15T18:07:26.000Z (over 2 years ago)
- Last Synced: 2025-03-15T02:46:46.325Z (over 1 year ago)
- Topics: additive-models, bayesian, r, r-package, rstats, spike-and-slab
- Language: R
- Homepage: https://boyiguo1.github.io/BHAM
- Size: 1.02 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 10
-
Metadata Files:
- Readme: README.Rmd
- Changelog: news.md
- License: LICENSE
Awesome Lists containing this project
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
[](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[](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