https://github.com/tidymodels/plsmod
Model Wrappers for Projection Methods
https://github.com/tidymodels/plsmod
Last synced: 3 months ago
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Model Wrappers for Projection Methods
- Host: GitHub
- URL: https://github.com/tidymodels/plsmod
- Owner: tidymodels
- License: other
- Created: 2020-04-07T02:47:29.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2025-04-29T17:21:47.000Z (8 months ago)
- Last Synced: 2025-10-10T13:41:10.316Z (3 months ago)
- Language: R
- Homepage: https://plsmod.tidymodels.org
- Size: 5.48 MB
- Stars: 14
- Watchers: 3
- Forks: 4
- Open Issues: 4
-
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
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%"
)
```
# plsmod
[](https://github.com/tidymodels/plsmod/actions/workflows/R-CMD-check.yaml)
[](https://lifecycle.r-lib.org/articles/stages.html)
[](https://CRAN.R-project.org/package=plsmod)
[](https://app.codecov.io/gh/tidymodels/plsmod?branch=main)
[](https://github.com/tidymodels/plsmod/actions)
This package is a helper package for [parsnip](https://parsnip.tidymodels.org) that enables linear projection models (such as partial least squares, PLS) in the tidymodels infrastructure.
## Installation
You can install the released version of plsmod from [CRAN](https://CRAN.R-project.org) with:
``` r
install.packages("plsmod")
```
And the development version from [GitHub](https://github.com/) with:
``` r
# install.packages("pak")
pak::pak("tidymodels/plsmod")
```
## Available Engines
The plsmod package provides engines for the models in the following table.
```{r}
#| echo: false
#| message: false
library(parsnip)
library(dplyr)
parsnip_models <-
get_from_env("models") |>
purrr::map_dfr(\(.x) get_from_env(.x) |> mutate(model = .x)) |>
filter(model == "pls") |>
knitr::kable()
```
## Contributing
This project is released with a [Contributor Code of Conduct](https://www.contributor-covenant.org/version/2/1/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.
- For questions and discussions about tidymodels packages, modeling, and machine learning, please [post on RStudio Community](https://community.rstudio.com/new-topic?category_id=15&tags=tidymodels,question).
- If you think you have encountered a bug, please [submit an issue](https://github.com/tidymodels/plsmod/issues).
- Either way, learn how to create and share a [reprex](https://reprex.tidyverse.org/articles/articles/learn-reprex.html) (a minimal, reproducible example), to clearly communicate about your code.
- Check out further details on [contributing guidelines for tidymodels packages](https://www.tidymodels.org/contribute/) and [how to get help](https://www.tidymodels.org/help/).