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modelDown  

Make Static HTML Website for Predictive Models
View on CRAN: Click here


Download and install modelDown package within the R console
Install from CRAN:
install.packages("modelDown")

Install from Github:
library("remotes")
install_github("cran/modelDown")

Install by package version:
library("remotes")
install_version("modelDown", "1.1")



Attach the package and use:
library("modelDown")
Maintained by
Kamil Romaszko
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-15
Latest Update: 2020-04-15
Description:
Website generator with HTML summaries for predictive models. This package uses 'DALEX' explainers to describe global model behavior. We can see how well models behave (tabs: Model Performance, Auditor), how much each variable contributes to predictions (tabs: Variable Response) and which variables are the most important for a given model (tabs: Variable Importance). We can also compare Concept Drift for pairs of models (tabs: Drifter). Additionally, data available on the website can be easily recreated in current R session. Work on this package was financially supported by the NCN Opus grant 2017/27/B/ST6/01307 at Warsaw University of Technology, Faculty of Mathematics and Information Science.
How to cite:
Kamil Romaszko (2019). modelDown: Make Static HTML Website for Predictive Models. R package version 1.1, https://cran.r-project.org/web/packages/modelDown. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0.1 (2019-06-15 10:50)
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Complete documentation for modelDown
Functions, R codes and Examples using the modelDown R package
Some associated functions: modelDown . 
Some associated R codes: modelDown.R .  Full modelDown package functions and examples
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