TODO.md

In rsquaredacademy/olsrr: Tools for Building OLS Regression Models

New Features

Below functions are inspired from the insight package:

• ols_get_formula(model)
• ols_get_interaction_terms(model)
• ols_get_terms(model)
• ols_get_data(model)
• ols_get_intercept(model)
• ols_get_matrix(model)
• ols_get_predicted(model)
• ols_get_residuals(model)
• ols_get_deviance(model)
• ols_get_parameters(model)
• ols_get_predictors(model)
• ols_get_response(model)
• ols_get_call(model)
• ols_get_obs(model)
• ols_has_intercept(model)

Below functions are inspired from the parameter package:

• ols_get_pvalues(model)
• ols_get_se(model)
• ols_get_ci(model)

Below functions are inspired from the performance package:

• ols_model_performance(model)
• ols_test_autocorrelation(model)
• ols_test_collinearity(model)
• ols_test_heteroskedasticity(model)
• ols_test_homogeneity(model)
• ols_test_model(model)
• ols_test_normality(model)
• ols_test_outliers(model)
• R2 functions

Compare models

• compare multiple model

blorr

• ols_model_fit_stats
• ols_test_lr
• ols_rsq_mcfadden
• ols_rsq_mcfadden_adj
• ols_rsq_cox_snell
• ols_rsq_nagelkerke
• ols_rsq_mckelvey_zavoina
• ols_rsq_effron
• ols_rsq_count
• ols_rsq_count_adj

Shiny

• make shiny app similar to shinyrfm

rsquaredacademy/olsrr documentation built on Nov. 8, 2024, 5:01 a.m.