vivid

This package is for visualising variable importance and variable interaction.

https://github.com/alaninglis/vivid

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (16.7%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

This package is for visualising variable importance and variable interaction.

Basic Info
Statistics
  • Stars: 26
  • Watchers: 2
  • Forks: 3
  • Open Issues: 1
  • Releases: 1
Created over 5 years ago · Last pushed 11 months ago
Metadata Files
Readme Changelog

README.Rmd

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# vivid


[![codecov](https://codecov.io/gh/AlanInglis/vivid/branch/master/graph/badge.svg?token=IJTT3ZW1RP)](https://app.codecov.io/gh/AlanInglis/vivid)






Variable importance, interaction measures and partial dependence plots are important summaries in the interpretation of statistical and machine learning models. In our R package `vivid` (variable importance and variable interaction displays) we create new visualisation techniques for exploring these model summaries. We construct heatmap and graph-based displays showing variable importance and interaction jointly, which are carefully designed to highlight important aspects of the fit. We also construct a new matrix-type layout showing all single and bivariate partial dependence plots, and an alternative layout based on graph Eulerians focusing on key subsets. Our new visualisations are model-agnostic and are applicable to regression and classification supervised learning settings. They enhance interpretation even in situations where the number of variables is large and the interaction structure complex. A practical
example of the package in use can be found here:



## Installation

The `zenplots` package (which is used within `vivid`) requires the `graph` package from `BioConductor.` To install the `graph` and `zenplots` packages use:
``` r
if (!requireNamespace("graph", quietly = TRUE)){
  install.packages("BiocManager")
  BiocManager::install("graph")
}
install.packages("zenplots")
```

You can install the released version of vivid from [CRAN](https://CRAN.R-project.org) with:

``` r
install.packages("vivid")
```

And the development version from [GitHub](https://github.com/AlanInglis/vivid) with:

``` r
# install.packages("devtools")
devtools::install_github("AlanInglis/vivid")
```

You can then load the package with:
``` r
library(vivid)
```


Owner

  • Login: AlanInglis
  • Kind: user

GitHub Events

Total
  • Issues event: 1
  • Watch event: 5
  • Issue comment event: 4
  • Push event: 8
Last Year
  • Issues event: 1
  • Watch event: 5
  • Issue comment event: 4
  • Push event: 8

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 566
  • Total Committers: 6
  • Avg Commits per committer: 94.333
  • Development Distribution Score (DDS): 0.184
Past Year
  • Commits: 126
  • Committers: 4
  • Avg Commits per committer: 31.5
  • Development Distribution Score (DDS): 0.341
Top Committers
Name Email Commits
Alan Inglis a****s@g****m 462
Catherine Hurley c****y@m****e 58
Alan Inglis a****s@A****n 37
Andrew Parnell a****l@m****e 7
Michael Mayer m****9@g****m 1
AlanInglis 4****s 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 8
  • Total pull requests: 2
  • Average time to close issues: 21 days
  • Average time to close pull requests: 11 days
  • Total issue authors: 6
  • Total pull request authors: 2
  • Average comments per issue: 1.63
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 5
  • Pull requests: 0
  • Average time to close issues: 13 days
  • Average time to close pull requests: N/A
  • Issue authors: 3
  • Pull request authors: 0
  • Average comments per issue: 1.6
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • jielab (3)
  • ethan-pawl (1)
  • mayer79 (1)
  • bdelavan (1)
  • markhwhiteii (1)
  • viv-analytics (1)
  • bsdelavan (1)
Pull Request Authors
  • olivroy (2)
  • mayer79 (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 219 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 11
  • Total maintainers: 1
cran.r-project.org: vivid

Variable Importance and Variable Interaction Displays

  • Versions: 11
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 219 Last month
Rankings
Dependent packages count: 29.8%
Average: 33.7%
Dependent repos count: 35.5%
Downloads: 35.9%
Maintainers (1)
Last synced: 11 months ago

Dependencies

.github/workflows/pkgdown.yaml actions
  • JamesIves/github-pages-deploy-action v4.4.1 composite
  • actions/checkout v3 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
DESCRIPTION cran
  • DendSer * imports
  • GGally * imports
  • RColorBrewer * imports
  • colorspace * imports
  • condvis2 * imports
  • dplyr * imports
  • flashlight * imports
  • ggalt * imports
  • ggnewscale * imports
  • ggplot2 * imports
  • igraph * imports
  • sp * imports
  • stats * imports
  • MASS * suggests
  • covr * suggests
  • e1071 * suggests
  • gridExtra * suggests
  • intergraph >= 2.0 suggests
  • knitr * suggests
  • labeling * suggests
  • lemon * suggests
  • mlr * suggests
  • mlr3 * suggests
  • mlr3learners * suggests
  • network >= 1.12.0 suggests
  • randomForest * suggests
  • ranger * suggests
  • rmarkdown * suggests
  • scales * suggests
  • sna >= 2.3 suggests
  • testthat >= 3.0.0 suggests
  • tidymodels * suggests
  • vip * suggests
  • xgboost * suggests
  • zenplots * suggests