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modelStudio
View on CRAN: Click
here
Download and install modelStudio package within the R console
Install from CRAN:
install.packages("modelStudio")
Install from Github:
library("remotes")
install_github("cran/modelStudio")
Install by package version:
library("remotes")
install_version("modelStudio", "3.1.2")
Attach the package and use:
library("modelStudio")
Maintained by
Hubert Baniecki
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.modelStudio . https://github.com/ModelOriented/modelStudio/issues . https://github.com/ModelOriented/modelStudio . modelStudio citation info . modelStudio results . modelStudio.pdf . modelStudio - perks and features . modelStudio - R & Python examples . modelStudio in R Markdown HTML . modelStudio_3.1.2.tar.gz . modelStudio_3.1.2.zip . modelStudio_3.1.2.zip . modelStudio_3.1.2.zip . modelStudio_3.1.2.tgz . modelStudio_3.1.2.tgz . modelStudio_3.1.2.tgz . modelStudio_3.1.2.tgz . modelStudio_3.1.2.tgz . modelStudio_3.1.2.tgz . modelStudio archive . https://CRAN.R-project.org/package=modelStudio .
First Published: 2019-09-03
Latest Update: 2023-02-20
Description:
Automate the explanatory analysis of machine learning predictive
models. Generate advanced interactive model explanations in the form of
a serverless HTML site with only one line of code. This tool is
model-agnostic, therefore compatible with most of the black-box predictive
models and frameworks. The main function computes various (instance and
model-level) explanations and produces a customisable dashboard, which
consists of multiple panels for plots with their short descriptions. It is
possible to easily save the dashboard and share it with others. modelStudio
facilitates the process of Interactive Explanatory Model Analysis introduced
in Baniecki et al. (2023) .
How to cite:
Hubert Baniecki (2019). modelStudio: Interactive Studio for Explanatory Model Analysis. R package version 3.1.2, https://cran.r-project.org/web/packages/modelStudio. Accessed 06 Apr. 2025.
Previous versions and publish date:
0.1.6 (2019-09-03 10:10), 0.1.7 (2019-09-05 04:40), 0.1.9 (2019-11-03 18:00), 0.2.0 (2020-01-13 14:40), 0.2.1 (2020-01-21 12:50), 0.3.0 (2020-02-20 10:20), 1.0.0 (2020-03-12 14:20), 1.0.1 (2020-03-13 12:40), 1.0.2 (2020-04-13 09:00), 1.1.0 (2020-05-09 00:50), 1.2.0 (2020-07-15 21:00), 2.0.0 (2020-09-10 16:30), 2.1.0 (2020-11-22 21:20), 2.1.1 (2021-01-07 19:10), 2.1.2 (2021-04-20 12:00), 3.0.0 (2021-07-13 11:50), 3.1.0 (2022-03-05 23:10)
Other packages that cited modelStudio R package
View modelStudio citation profile
Other R packages that modelStudio depends,
imports, suggests or enhances
Complete documentation for modelStudio
Functions, R codes and Examples using
the modelStudio R package
Some associated functions: happiness_train . modelStudio . ms_merge_observations . ms_options . ms_update_observations . ms_update_options .
Some associated R codes: data.R . modelStudio.R . ms_merge_observations.R . ms_options.R . ms_update_observations.R . ms_update_options.R . prepare.R . Full modelStudio package functions and examples
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