https://github.com/jbryer/medley

Predictive Modeling with Missing Data
https://github.com/jbryer/medley

missing-data predictive-modeling r

Last synced: about 2 months ago
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Predictive Modeling with Missing Data

• Host: GitHub
• URL: https://github.com/jbryer/medley
• Owner: jbryer
• License: gpl-3.0
• Created: 2024-10-24T02:29:26.000Z (2 months ago)
• Default Branch: master
• Last Pushed: 2024-10-24T12:59:17.000Z (2 months ago)
• Last Synced: 2024-10-24T19:57:14.284Z (2 months ago)
• Topics: missing-data, predictive-modeling, r
• Language: R
• Homepage: https://jbryer.github.io/medley/
• Size: 1.52 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE.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%"

)

library(badger)

```

# medley: Predictive Modeling with Missing Data

`r badge_cran_release("medley", "orange")`

`r badge_devel("jbryer/medley", "blue")`

`r badge_github_actions("jbryer/medley", action = "R-CMD-check")`

**Author:** Jason Bryer, Ph.D.   

**Website:** https://jbryer.github.io/medley/

The goal of medley is to provide a framework for training predictive models where there is a systematic pattern of missing data. For example, situations where baseline data may be available but as time progresses additional variables may be available. This framework allows for training models for different combinations of data availability allowing for single function call to get predictions on new data.

## Installation

You can install the development version of medley like so:

``` r

remotes::install_github('jbryer/medley')

```