# Toolkit for Credit Modeling, Analysis and Visualization

## Documentation for package ‘creditmodel’ version 1.2.4

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

A C D E F G H I K L M N O P Q R S T U V W X misc

creditmodel-package | creditmodel: toolkit for credit modeling and data analysis

## -- A --

address_varieble | address_varieble
add_variable_process | add_variable_process
analysis_nas | missing Analysis
analysis_outliers | Outliers Analysis
as_percent | Percent Format
auc_value | auc_value 'auc_value' is for get best lambda required in lasso_filter. This function required in 'lasso_filter'
avg_x | Functions for vector operation.

## -- C --

char_cor | Cramer's V matrix between categorical variables.
char_cor_vars | Cramer's V matrix between categorical variables.
char_to_num | character to number
checking_data | Checking Data
check_data_format | Read data
check_rules | check rules
city_varieble | city_varieble
city_varieble_process | Processing of Address Variables
cnt_x | Functions for vector operation.
cohort_analysis | cohort_analysis 'cohort_analysis' is for cohort(vintage) analysis.
cohort_plot | cohort_table_plot 'cohort_table_plot' is for ploting cohort(vintage) analysis table.
cohort_table | cohort_analysis 'cohort_analysis' is for cohort(vintage) analysis.
cohort_table_plot | cohort_table_plot 'cohort_table_plot' is for ploting cohort(vintage) analysis table.
colAllnas | Functions for vector operation.
colAllzeros | Functions for vector operation.
colMaxMins | Functions for vector operation.
colSds | Functions for vector operation.
cor_heat_plot | Correlation Heat Plot
cor_plot | Correlation Plot
cos_sim | cos_sim
creditmodel | creditmodel: toolkit for credit modeling and data analysis
cross_table | cross_table
customer_segmentation | Customer Segmentation
cut_equal | Generating Initial Equal Size Sample Bins
cv_split | Stratified Folds

## -- D --

data_cleansing | Data Cleaning
data_exploration | Data Exploration
date_cut | Date Time Cut Point
derived_interval | derived_interval
derived_partial_acf | derived_partial_acf
derived_pct | derived_pct
derived_ts | Derivation of Behavioral Variables
derived_ts_vars | Derivation of Behavioral Variables
de_one_hot_encoding | Recovery One-Hot Encoding
de_percent | Recovery Percent Format
digits_num | Number of digits

## -- E --

entropy_weight | Entropy Weight Method
entry_rate_na | Max Percent of missing Value
euclid_dist | euclid_dist
eval_auc | Functions of xgboost feval
eval_ks | Functions of xgboost feval
eval_lift | Functions of xgboost feval
eval_tnr | Functions of xgboost feval
ewm_data | Entropy Weight Method Data
e_ij | Entropy

## -- F --

fast_high_cor_filter | high_cor_filter
feature_selector | Feature Selection Wrapper
fuzzy_cluster | Fuzzy Cluster means.
fuzzy_cluster_means | Fuzzy Cluster means.

## -- G --

gather_data | gather or aggregate data
gbm_filter | Select Features using GBM
gbm_params | GBM Parameters
get_auc_ks_lambda | get_auc_ks_lambda 'get_auc_ks_lambda' is for get best lambda required in lasso_filter. This function required in 'lasso_filter'
get_bins_table | Table of Binning
get_bins_table_all | Table of Binning
get_breaks | Generates Best Breaks for Binning
get_breaks_all | Generates Best Breaks for Binning
get_correlation_group | get_correlation_group
get_ctree_rules | Parse desision tree rules
get_iv | Calculate Information Value (IV) 'get_iv' is used to calculate Information Value (IV) of an independent variable. 'get_iv_all' can loop through IV for all specified independent variables.
get_iv_all | Calculate Information Value (IV) 'get_iv' is used to calculate Information Value (IV) of an independent variable. 'get_iv_all' can loop through IV for all specified independent variables.
get_logistic_coef | get logistic coef
get_median | get central value.
get_names | Get Variable Names
get_nas_random | get_nas_random
get_partial_dependence_plots | partial_dependence_plot
get_plots | Plot Independent Variables Distribution
get_psi | Calculate Population Stability Index (PSI) 'get_psi' is used to calculate Population Stability Index (PSI) of an independent variable. 'get_psi_all' can loop through PSI for all specified independent variables.
get_psi_all | Calculate Population Stability Index (PSI) 'get_psi' is used to calculate Population Stability Index (PSI) of an independent variable. 'get_psi_all' can loop through PSI for all specified independent variables.
get_psi_iv | Calculate IV & PSI
get_psi_iv_all | Calculate IV & PSI
get_psi_plots | Plot PSI(Population Stability Index)
get_score_card | Score Card
get_shadow_nas | get_shadow_nas
get_sim_sign_lambda | get_sim_sign_lambda 'get_sim_sign_lambda' is for get Best lambda required in lasso_filter. This function required in 'lasso_filter'
get_tree_breaks | Getting the breaks for terminal nodes from decision tree
get_x_list | Get X List.

## -- H --

high_cor_filter | high_cor_filter
high_cor_selector | Compare the two highly correlated variables

## -- I --

is_date | is_date

## -- K --

knn_nas_imp | Imputate nas using KNN
ks_plot | model result plots 'model_result_plot' is a wrapper of following: 'perf_table' is for generating a model performance table. 'ks_plot' is for K-S. 'roc_plot' is for ROC. 'lift_plot' is for Lift Chart. 'score_distribution_plot' is for ploting the score distribution.
ks_psi_plot | ks_table & plot
ks_table | ks_table & plot
ks_table_plot | ks_table & plot
ks_value | ks_value

## -- L --

lasso_filter | Variable selection by LASSO
lendingclub | Lending Club data
lift_plot | model result plots 'model_result_plot' is a wrapper of following: 'perf_table' is for generating a model performance table. 'ks_plot' is for K-S. 'roc_plot' is for ROC. 'lift_plot' is for Lift Chart. 'score_distribution_plot' is for ploting the score distribution.
lift_value | lift_value
local_outlier_factor | local_outlier_factor 'local_outlier_factor' is function for calculating the lof factor for a data set using knn This function is not intended to be used by end user.
log_trans | Logarithmic transformation
log_vars | Logarithmic transformation
loop_function | Loop Function. #' 'loop_function' is an iterator to loop through
love_color | love_color
low_variance_filter | Filtering Low Variance Variables
lr_params | Logistic Regression & Scorecard Parameters
lr_params_search | Logistic Regression & Scorecard Parameters
lr_vif | Variance-Inflation Factors

## -- M --

max_min_norm | Max Min Normalization
max_x | Functions for vector operation.
merge_category | Merge Category
min_max_norm | Min Max Normalization
min_x | Functions for vector operation.
model_key_index | ks_table & plot
model_result_plot | model result plots 'model_result_plot' is a wrapper of following: 'perf_table' is for generating a model performance table. 'ks_plot' is for K-S. 'roc_plot' is for ROC. 'lift_plot' is for Lift Chart. 'score_distribution_plot' is for ploting the score distribution.
multi_grid | Arrange list of plots into a grid
multi_left_join | multi_left_join

## -- N --

null_blank_na | Encode NAs

## -- O --

one_hot_encoding | One-Hot Encoding
outliers_detection | Outliers Detection 'outliers_detection' is for outliers detecting using Kmeans and Local Outlier Factor (lof)
outliers_kmeans_lof | Outliers Treatment

## -- P --

partial_dependence_plot | partial_dependence_plot
PCA_reduce | PCA Dimension Reduction
perf_table | model result plots 'model_result_plot' is a wrapper of following: 'perf_table' is for generating a model performance table. 'ks_plot' is for K-S. 'roc_plot' is for ROC. 'lift_plot' is for Lift Chart. 'score_distribution_plot' is for ploting the score distribution.
plot_bar | Plot Bar
plot_box | Plot Box
plot_density | Plot Density
plot_distribution | Plot Distribution
plot_distribution_x | Plot Distribution
plot_oot_perf | plot_oot_perf 'plot_oot_perf' is for ploting performance of cross time samples in the future
plot_relative_freq_histogram | Plot Relative Frequency Histogram
plot_table | plot_table
plot_theme | plot_theme
plot_vars | Plot Independent Variables Distribution
pred_score | pred_score
pred_xgb | pred_xgb
process_nas | missing Treatment
process_nas_var | missing Treatment
process_outliers | Outliers Treatment
psi_iv_filter | Variable reduction based on Information Value & Population Stability Index filter
psi_plot | Plot PSI(Population Stability Index)
p_ij | Entropy
p_to_score | prob to socre

## -- Q --

quick_as_df | List as data.frame quickly

## -- R --

ranking_percent_dict | Ranking Percent Process
ranking_percent_dict_x | Ranking Percent Process
ranking_percent_proc | Ranking Percent Process
ranking_percent_proc_x | Ranking Percent Process
read_data | Read data
reduce_high_cor_filter | Filtering highly correlated variables with reduce method
remove_duplicated | Remove Duplicated Observations
replace_value | Replace Value
replace_value_x | Replace Value
require_packages | Packages required and intallment
re_code | re_code 're_code' search for matches to argument pattern within each element of a character vector:
re_name | Rename
rf_params | Random Forest Parameters
roc_plot | model result plots 'model_result_plot' is a wrapper of following: 'perf_table' is for generating a model performance table. 'ks_plot' is for K-S. 'roc_plot' is for ROC. 'lift_plot' is for Lift Chart. 'score_distribution_plot' is for ploting the score distribution.
rowAll | Functions for vector operation.
rowAllnas | Functions for vector operation.
rowAny | Functions for vector operation.
rowCVs | Functions for vector operation.
rowMaxMins | Functions for vector operation.
rowMaxs | Functions for vector operation.
rowMins | Functions for vector operation.
rowSds | Functions for vector operation.
rules_filter | rules_filter
rules_result | rules_result
rule_value_replace | rule_value_replace

## -- S --

save_data | Save data
score_distribution_plot | model result plots 'model_result_plot' is a wrapper of following: 'perf_table' is for generating a model performance table. 'ks_plot' is for K-S. 'roc_plot' is for ROC. 'lift_plot' is for Lift Chart. 'score_distribution_plot' is for ploting the score distribution.
score_transfer | Score Transformation
select_best_breaks | Generates Best Binning Breaks
select_best_class | Generates Best Binning Breaks
select_cor_group | get_correlation_group
select_cor_list | get_correlation_group
sim_str | sim_str
split_bins | split_bins
split_bins_all | Split bins all
start_parallel_computing | Parallel computing and export variables to global Env.
stop_parallel_computing | Stop parallel computing
str_match | string match #' 'str_match' search for matches to argument pattern within each element of a character vector:
sum_x | Functions for vector operation.
swap_analysis | Swap Out/Swap In Analysis

## -- T --

term_filter | TF-IDF
term_idf | TF-IDF
term_tfidf | TF-IDF
time_series_proc | Process time series data
time_transfer | Time Format Transfering
time_variable | time_variable
time_vars_process | Processing of Time or Date Variables
tnr_value | tnr_value
training_model | Training model
train_lr | Trainig LR model
train_test_split | Train-Test-Split
train_xgb | Training XGboost

## -- U --

UCICreditCard | UCI Credit Card data

## -- V --

variable_process | variable_process
var_group_proc | Process group numeric variables

## -- W --

woe_trans | WOE Transformation
woe_trans_all | WOE Transformation

## -- X --

xgb_data | XGboost data
xgb_filter | Select Features using XGB
xgb_params | XGboost Parameters
xgb_params_search | XGboost Parameters

## -- misc --

%alike% | Fuzzy String matching
%islike% | Fuzzy String matching