View source: R/model-diagnostics.R
model_summary_variables | R Documentation |
Get summary of model
model_summary_variables(
model,
coef_sign = 1,
limit_significance = 0.05,
limit_iv = 0.02,
limit_corr = 0.6,
limit_vif = 5
)
model_corr_variables(model)
model_vif_variables(model)
model_iv_variables(model)
model |
model |
coef_sign |
Sign to compare estimaes. |
limit_significance |
Limit for Significance. |
limit_iv |
Limit for Information Value. |
limit_corr |
Limit for correlation max between variables. |
limit_vif |
Limit for VIF. |
data("credit_woe")
data("credit_woe")
m <- glm(bad ~ age_woe + flag_res_phone_woe + months_in_the_job_woe +
payment_day_woe + sex_woe + profession_code_woe + marital_status_woe,
family = binomial, data = head(credit_woe, 10000)
)
model_partials(m)
model_summary_variables(m)
model_corr_variables(m)
model_vif_variables(m)
model_iv_variables(m)
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