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creditmodel  

Toolkit for Credit Modeling, Analysis and Visualization
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("creditmodel", "1.3.1")



Attach the package and use:
library("creditmodel")
Maintained by
Dongping Fan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-28
Latest Update: 2022-01-07
Description:
Provides a highly efficient R tool suite for Credit Modeling, Analysis and Visualization.Contains infrastructure functionalities such as data exploration and preparation, missing values treatment, outliers treatment, variable derivation, variable selection, dimensionality reduction, grid search for hyper parameters, data mining and visualization, model evaluation, strategy analysis etc. This package is designed to make the development of binary classification models (machine learning based models as well as credit scorecard) simpler and faster. The references including: 1 Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development and Implementation Using SAS; 2 Bezdek, James C.FCM: The fuzzy c-means clustering algorithm. Computers & Geosciences (0098-3004),.
How to cite:
Dongping Fan (2019). creditmodel: Toolkit for Credit Modeling, Analysis and Visualization. R package version 1.3.1, https://cran.r-project.org/web/packages/creditmodel. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0 (2019-04-28 09:30), 1.1.0 (2019-05-19 01:10), 1.1.1 (2019-07-18 10:54), 1.1.2 (2019-09-02 17:10), 1.1.3 (2019-09-13 12:30), 1.1.4 (2019-09-29 14:40), 1.1.5 (2019-10-24 01:50), 1.1.6 (2019-11-12 09:50), 1.1.8 (2020-03-18 23:50), 1.1.9 (2020-04-20 12:20), 1.2.1 (2020-05-23 08:40), 1.2.2 (2020-06-21 09:50), 1.2.3 (2020-07-05 00:00), 1.2.4 (2020-07-13 13:50), 1.2.5 (2020-08-27 00:50), 1.2.6 (2020-10-02 08:42), 1.2.7 (2020-11-09 10:30), 1.2 (2020-04-28 15:40), 1.3.0 (2021-01-25 12:40)
Other packages that cited creditmodel R package
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Other R packages that creditmodel depends, imports, suggests or enhances
Complete documentation for creditmodel
Functions, R codes and Examples using the creditmodel R package
Some associated functions: PCA_reduce . UCICreditCard . add_variable_process . address_varieble . analysis_nas . analysis_outliers . as_percent . auc_value . char_cor_vars . char_to_num . checking_data . city_varieble . city_varieble_process . cohort_table_plot . cor_heat_plot . cor_plot . cos_sim . creditmodel-package . customer_segmentation . cut_equal . cv_split . data_cleansing . data_exploration . date_cut . de_one_hot_encoding . de_percent . derived_interval . derived_partial_acf . derived_pct . derived_ts_vars . digits_num . entropy_weight . entry_rate_na . euclid_dist . eval_auc . ewm_data . fast_high_cor_filter . feature_selector . fuzzy_cluster_means . gather_data . gbm_filter . gbm_params . get_auc_ks_lambda . get_bins_table_all . get_breaks_all . get_correlation_group . get_iv_all . get_logistic_coef . get_median . get_names . get_nas_random . get_psi_all . get_psi_iv_all . get_psi_plots . get_score_card . get_shadow_nas . get_sim_sign_lambda . get_tree_breaks . get_x_list . grapes-alike-grapes . grapes-islike-grapes . high_cor_selector . is_date . knn_nas_imp . ks_table . ks_value . lasso_filter . lendingclub . lift_value . local_outlier_factor . log_trans . loop_function . love_color . low_variance_filter . lr_params . lr_vif . max_min_norm . merge_category . min_max_norm . model_result_plot . multi_grid . multi_left_join . n_char . null_blank_na . one_hot_encoding . outliers_detection . p_ij . p_to_score . partial_dependence_plot . plot_colors . plot_oot_perf . plot_table . plot_theme . pred_score . process_nas . process_outliers . psi_iv_filter . quick_as_df . ranking_percent_proc . re_code . re_name . read_data . reduce_high_cor_filter . remove_duplicated . replace_value . require_packages . rf_params . rowAny . save_data . score_transfer . select_best_class . sim_str . split_bins . split_bins_all . sql_hive_text_parse . start_parallel_computing . stop_parallel_computing . str_match . sum_table . term_tfidf . time_series_proc . time_transfer . time_variable . time_vars_process . tnr_value . train_lr . train_test_split . train_xgb . training_model . var_group_proc . variable_process . woe_trans_all . xgb_data . xgb_filter . xgb_params . 
Some associated R codes: data_anaylsis.R . data_cleansing.R . data_exploration.R . data_process_tools.R . data_transformation.R . data_visualization.R . essential_algorithms.R . model_training.R . outliers_missing_treatment.R . variable_binning.R . variable_selection.R . zzz.R .  Full creditmodel package functions and examples
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