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regressoR (version 1.1.7)

Regression Data Analysis System

Description

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.

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Version

Install

install.packages('regressoR')

Monthly Downloads

589

Version

1.1.7

License

GPL (>= 2)

Maintainer

Oldemar Rodriguez

Last Published

June 11th, 2019

Functions in regressoR (1.1.7)

colnames_empty

colnames_empty
combine_names

combine_names
default_disp

default_disp
disjunctive_data

disjunctive_data
code_load

code_load
code_summary

code_summary
comparative_table

comparative_table
cor_model

cor_model
labelInput

labelInput
dt_model

dt_model
disp_models

disp_models
code_deactivate

code_deactivate
error_plot

error_plot
new_report

new_report
len_report

len_report
gg_color_hue

gg_color_hue
new_section_report

new_section_report
def_code_num

def_code_num
code_field

code_field
importance_plot_rf

importance_plot_rf
dt_plot

dt_plot
inputRadio

inputRadio
boosting_importance_plot

boosting_importance_plot
code_transf

code_transf
rd_model

rd_model
options_regressor

options_regressor
insert_report

insert_report
order_report

order_report
plot_pred_rd

plot_pred_rd
plot_real_prediction

plot_real_prediction
error_variables

error_variables
rl_prediction

rl_prediction
rd_prediction

rd_prediction
rlr_model

rlr_model
default_calc_normal

default_calc_normal
dt_prediction

dt_prediction
get_env_report

get_env_report
coef_lambda

coef_lambda
rf_prediction

rf_prediction
rlr_prediction

rlr_prediction
rf_model

rf_model
summary_indices

summary_indices
var_numerical

var_numerical
svm_model

svm_model
kkn_model

kkn_model
get_report

get_report
general_indices

general_indices
fisher_calc

fisher_calc
kkn_prediction

kkn_prediction
new_col

new_col
nn_prediction

nn_prediction
models_mode

models_mode
nn_model

nn_model
correlations_plot

correlations_plot
normal_default

normal_default
word_report

word_report
rlr_type

rlr_type
plot_var_pred_rd

plot_var_pred_rd
nn_plot

nn_plot
exe

exe
def_code_cat

def_code_cat
partition_code

partition_code
pairs_power

pairs_power
extract_code

extract_code
render_table_data

render_table_data
translate

translate
tb_predic

tb_predic
render_index_table

render_index_table
radioButtonsTr

radioButtonsTr
remove_report_elem

remove_report_elem
rd_type

rd_type
infoBoxPROMiDAT

infoBoxPROMiDAT
init_regressor

This function will start regressoR
numerical_distribution

numerical_distribution
plot_RMSE

plot_RMSE
numerical_summary

numerical_summary
plot_coef_lambda

plot_coef_lambda
tabsOptions

tabsOptions
rl_model

rl_model
rl_coeff

rl_coeff
svm_prediction

svm_prediction
var_categorical

var_categorical
validate_pn_data

validate_pn_data
clean_report

clean_report
boosting_prediction

boosting_prediction
categorical_distribution

categorical_distribution
calibrate_boosting

calibrate_boosting
categorical_summary

categorical_summary
code_NA

code_NA
chunk

chunk
boosting_model

boosting_model
as_string_c

as_string_c