https://github.com/stefanocoretta/tidygam
https://github.com/stefanocoretta/tidygam
r-package rstats software
Last synced: 4 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/stefanocoretta/tidygam
- Owner: stefanocoretta
- License: other
- Created: 2022-04-17T08:09:27.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2024-12-18T15:53:11.000Z (over 1 year ago)
- Last Synced: 2025-12-09T08:16:47.684Z (6 months ago)
- Topics: r-package, rstats, software
- Language: R
- Homepage: https://stefanocoretta.github.io/tidygam/
- Size: 10 MB
- Stars: 17
- Watchers: 1
- Forks: 3
- Open Issues: 8
-
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,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# tidygam: Tidy Prediction and Plotting of Generalised Additive Models
`r badger::badge_cran_release("tidygam", "blue")`
`r badger::badge_cran_checks("tidygam")`
`r badger::badge_devel(color = "orange")`
With tidygam, users can more easily obtain predictions from Generalised Additive Models (GAMs) and plot them, using tidyverse tools.
## Installation
You can install the latest release of tidygam from [GitHub](https://github.com/) with:
``` r
# install.packages("remotes")
remotes::install_github("stefanocoretta/tidygam@v1.0.0")
```
Alternatively, you can install the development version:
``` r
# install.packages("remotes")
remotes::install_github("stefanocoretta/tidygam@devel")
```
## Examples
For examples, see the `Get started` vignette and the documentation of `predict_gam()` and `plot.tidygam()`.