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radiant.model
View on CRAN: Click
here
Download and install radiant.model package within the R console
Install from CRAN:
install.packages("radiant.model")
Install from Github:
library("remotes")
install_github("cran/radiant.model")
Install by package version:
library("remotes")
install_version("radiant.model", "1.6.3")
Attach the package and use:
library("radiant.model")
Maintained by
Vincent Nijs
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-18
Latest Update: 2023-10-16
Description:
The Radiant Model menu includes interfaces for linear and logistic regression, naive Bayes, neural networks, classification and regression trees, model evaluation, collaborative filtering, decision analysis, and simulation. The application extends the functionality in 'radiant.data'.
How to cite:
Vincent Nijs (2016). radiant.model: Model Menu for Radiant: Business Analytics using R and Shiny. R package version 1.6.3, https://cran.r-project.org/web/packages/radiant.model
Previous versions and publish date:
0.6.0 (2016-09-18 12:52), 0.8.0 (2017-04-29 01:14), 0.9.5 (2018-06-15 09:53), 0.9.7 (2018-10-06 18:00), 0.9.9 (2019-03-05 14:10), 1.0.0 (2019-07-26 06:40), 1.3.10 (2020-03-24 10:50), 1.3.13 (2020-08-10 19:20), 1.3.14 (2020-08-27 00:50), 1.3.15 (2021-02-19 00:50), 1.4.0 (2021-05-13 23:20), 1.4.1 (2021-10-10 07:00), 1.4.2 (2021-11-22 07:10), 1.4.3 (2021-12-21 07:20), 1.4.4 (2022-05-25 10:50), 1.4.6 (2022-07-23 08:20), 1.4.7 (2022-08-25 00:20), 1.4.8 (2022-09-09 14:10), 1.5.0 (2023-01-12 00:40), 1.6.0 (2023-09-10 11:20)
Other packages that cited radiant.model R package
View radiant.model citation profile
Other R packages that radiant.model depends,
imports, suggests or enhances
Functions, R codes and Examples using
the radiant.model R package
Some associated functions: MAE . RMSE . Rsq . auc . catalog . confint_robust . confusion . crs . crtree . cv.crtree . cv.gbt . cv.nn . cv.rforest . direct_marketing . dot-as_int . dot-as_num . dtree . dtree_parser . dvd . evalbin . evalreg . find_max . find_min . gbt . houseprices . ideal . kaggle_uplift . ketchup . logistic . minmax . mnl . movie_contract . nb . nn . onehot . pdp_plot . plot.confusion . plot.crs . plot.crtree . plot.dtree . plot.evalbin . plot.evalreg . plot.gbt . plot.logistic . plot.mnl . plot.mnl.predict . plot.model.predict . plot.nb . plot.nb.predict . plot.nn . plot.regress . plot.repeater . plot.rforest . plot.rforest.predict . plot.simulater . plot.uplift . pred_plot . predict.crtree . predict.gbt . predict.logistic . predict.mnl . predict.nb . predict.nn . predict.regress . predict.rforest . predict_model . print.crtree.predict . print.gbt.predict . print.logistic.predict . print.mnl.predict . print.nb.predict . print.nn.predict . print.regress.predict . print.rforest.predict . print_predict_model . profit . radiant.model-deprecated . radiant.model . radiant.model_viewer . radiant.model_window . ratings . regress . render.DiagrammeR . repeater . rforest . rig . scale_df . sdw . sensitivity.dtree . sensitivity . sim_cleaner . sim_cor . sim_splitter . sim_summary . simulater . store.crs . store.mnl.predict . store.model . store.model.predict . store.nb.predict . store.rforest.predict . summary.confusion . summary.crs . summary.crtree . summary.dtree . summary.evalbin . summary.evalreg . summary.gbt . summary.logistic . summary.mnl . summary.nb . summary.nn . summary.regress . summary.repeater . summary.rforest . summary.simulater . summary.uplift . test_specs . uplift . var_check . varimp . varimp_plot . write.coeff .
Some associated R codes: aaa.R . crs.R . crtree.R . deprecated.R . dtree.R . evalbin.R . evalreg.R . gbt.R . logistic.R . mnl.R . nb.R . nn.R . radiant.R . regress.R . rforest.R . simulater.R . Full radiant.model package functions and examples
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