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modelplotr
View on CRAN: Click
here
Download and install modelplotr package within the R console
Install from CRAN:
install.packages("modelplotr")
Install from Github:
library("remotes")
install_github("cran/modelplotr")
Install by package version:
library("remotes")
install_version("modelplotr", "1.1.0")
Attach the package and use:
library("modelplotr")
Maintained by
Jurriaan Nagelkerke
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-24
Latest Update: 2023-09-19
Description:
Plots to assess the quality of predictive models from a business perspective.
Using these plots, it can be shown how implementation of the model will impact business
targets like response on a campaign or return on investment. Different scopes can be selected:
compare models, compare datasets or compare target class values and various plot customization
and highlighting options are available.
targets like response on a campaign. Different scopes can be selected: compare models, compare
datasets or compare target class values and various plot customization and highlighting options
are available.
How to cite:
Jurriaan Nagelkerke (2019). modelplotr: Plots to Evaluate the Business Performance of Predictive Models. R package version 1.1.0, https://cran.r-project.org/web/packages/modelplotr
Other packages that cited modelplotr R package
View modelplotr citation profile
Other R packages that modelplotr depends,
imports, suggests or enhances
Functions, R codes and Examples using
the modelplotr R package
Some associated functions: aggregate_over_ntiles . bank_td . build_input_yourself . customize_plot_text . modelplotr . plot_costsrevs . plot_cumgains . plot_cumlift . plot_cumresponse . plot_multiplot . plot_profit . plot_response . plot_roi . plotting_scope . prepare_scores_and_ntiles . prepare_scores_and_ntiles_keras .
Some associated R codes: bank_td.R . dataprepmodelplots.R . modelplotr.R . parametersmodelplots.R . plottingmodelplots.R . Full modelplotr package functions and examples
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