https://agnesdeng.github.io/vismi/

Visualisation Tools for Multiple Imputation
https://agnesdeng.github.io/vismi/

Last synced: 3 months ago
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Visualisation Tools for Multiple Imputation

• Host: GitHub
• URL: https://agnesdeng.github.io/vismi/
• Owner: agnesdeng
• License: gpl-3.0
• Created: 2022-08-17T03:47:36.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2026-02-04T06:33:03.000Z (4 months ago)
• Last Synced: 2026-02-23T21:53:15.988Z (3 months ago)
• Language: JavaScript
• Homepage: https://agnesdeng.github.io/vismi/
• Size: 46.6 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • Changelog: NEWS.md
  • License: LICENSE.md

Awesome Lists containing this project

• awesome-ggplot2 - vismi

README

          
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  echo = TRUE,

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  tidy.opts = list(width.cutoff = 60), tidy = TRUE,

  dpi = 150, fig.asp = 0.5, fig.width = 7, fig.retina = 1,

  out.width = "95%",

  warning = FALSE, message = FALSE

)

```

# vismi 

The R package **vismi** ([Visual Diagnostics for Multiple Imputation](https://agnesdeng.github.io/vismi/)) provides a comprehensive suite of visual diagnostics for assessing the quality of multiply imputed data. The package supports imputed data generated by various multiple imputation methods, including `mixgb`, `mice`, and more.

[![Made with R](https://img.shields.io/badge/Made%20With-R-9cf)](https://github.com/agnesdeng/vismi) [![CRAN version](https://img.shields.io/cran/v/vismi?color=9cf)](https://cran.r-project.org/package=vismi) [![GitHub release (latest by date)](https://img.shields.io/github/v/release/agnesdeng/vismi?logo=github&color=green)](https://github.com/agnesdeng/vismi/releases) 

[![R-CMD-check](https://github.com/agnesdeng/vismi/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/agnesdeng/vismi/actions/workflows/R-CMD-check.yaml)

## Overview

The package has been completely redesigned. Please check **Articles** section for more details. 

- `vismi()`: visualise multiply-imputed missing data through distributional characteristics

- `vismi_overimp()`: visualise multiply-imputed missing data through overimputation

- `vismi_converge()`: visualise convergence diagnostics for imputed values of an incomplete variable

With the support of [trelliscopejs][trelliscopejs-url], **vismi** provides trelliscope displays to inspect all variables at once via

- `trellis_vismi()`

- `trellis_vismi_overimp()`

- `trellis_vismi_converge()`

[trelliscopejs-url]: https://hafen.github.io/trelliscopejs/

## Installation

You can install the current development version of vismi from [GitHub](https://github.com/agnesdeng) with:

``` r

devtools::install_github("agnesdeng/vismi")

```