Package index • olsrr

Shiny App

ols_launch_app(): Launch shiny app

Regression

ols_regress(): Ordinary least squares regression

All Possible Regression

ols_step_all_possible() plot(<ols_step_all_possible>): All possible regression

ols_step_all_possible_betas(): All possible regression variable coefficients

Best Subset Regression

ols_step_best_subset() plot(<ols_step_best_subset>): Best subsets regression

Forward Selection

ols_step_forward_aic() plot(<ols_step_forward_aic>): Stepwise AIC forward regression

ols_step_forward_sbc() plot(<ols_step_forward_sbc>): Stepwise SBC forward regression

ols_step_forward_sbic() plot(<ols_step_forward_sbic>): Stepwise SBIC forward regression

ols_step_forward_r2() plot(<ols_step_forward_r2>): Stepwise R-Squared forward regression

ols_step_forward_adj_r2() plot(<ols_step_forward_adj_r2>): Stepwise Adjusted R-Squared forward regression

ols_step_forward_p() plot(<ols_step_forward_p>): Stepwise forward regression

Backward Selection

ols_step_backward_aic() plot(<ols_step_backward_aic>): Stepwise AIC backward regression

ols_step_backward_sbc() plot(<ols_step_backward_sbc>): Stepwise SBC backward regression

ols_step_backward_sbic() plot(<ols_step_backward_sbic>): Stepwise SBIC backward regression

ols_step_backward_r2() plot(<ols_step_backward_r2>): Stepwise R-Squared backward regression

ols_step_backward_adj_r2() plot(<ols_step_backward_adj_r2>): Stepwise Adjusted R-Squared backward regression

ols_step_backward_p() plot(<ols_step_backward_p>): Stepwise backward regression

Both Direction Selection

ols_step_both_aic() plot(<ols_step_both_aic>): Stepwise AIC regression

ols_step_both_sbc() plot(<ols_step_both_sbc>): Stepwise SBC regression

ols_step_both_sbic() plot(<ols_step_both_sbic>): Stepwise SBIC regression

ols_step_both_r2() plot(<ols_step_both_r2>): Stepwise R-Squared regression

ols_step_both_adj_r2() plot(<ols_step_both_adj_r2>): Stepwise Adjusted R-Squared regression

ols_step_both_p() plot(<ols_step_both_p>): Stepwise regression

Residual Diagnostics

ols_plot_resid_box(): Residual box plot

ols_plot_resid_fit(): Residual vs fitted plot

ols_plot_resid_hist(): Residual histogram

ols_plot_resid_qq(): Residual QQ plot

ols_test_correlation(): Correlation test for normality

ols_test_normality(): Test for normality

Heteroskedasticity

ols_test_bartlett(): Bartlett test

ols_test_breusch_pagan(): Breusch pagan test

ols_test_score(): Score test

ols_test_f(): F test

Collinearity Diagnostics

ols_coll_diag() ols_vif_tol() ols_eigen_cindex(): Collinearity diagnostics

Measures of Influence

ols_plot_cooksd_bar(): Cooks' D bar plot

ols_plot_cooksd_chart(): Cooks' D chart

ols_plot_dfbetas(): DFBETAs panel

ols_plot_dffits(): DFFITS plot

ols_plot_resid_stud(): Studentized residual plot

ols_plot_resid_stand(): Standardized residual chart

ols_plot_resid_lev(): Studentized residuals vs leverage plot

ols_plot_resid_stud_fit(): Deleted studentized residual vs fitted values plot

ols_plot_hadi(): Hadi plot

ols_plot_resid_pot(): Potential residual plot

ols_leverage(): Leverage

ols_hadi(): Hadi's influence measure

ols_press(): PRESS

ols_pred_rsq(): Predicted rsquare

ols_test_outlier(): Bonferroni Outlier Test

Information Criteria

ols_aic(): Akaike information criterion

ols_sbc(): Bayesian information criterion

ols_sbic(): Sawa's bayesian information criterion

ols_mallows_cp(): Mallow's Cp

ols_msep(): MSEP

ols_fpe(): Final prediction error

ols_apc(): Amemiya's prediction criterion

ols_hsp(): Hocking's Sp

Model Fit Assessment

ols_plot_resid_fit_spread() ols_plot_fm() ols_plot_resid_spread(): Residual fit spread plot

ols_correlations(): Part and partial correlations

ols_plot_obs_fit(): Observed vs fitted values plot

ols_pure_error_anova(): Lack of fit F test

ols_plot_diagnostics(): Diagnostics panel

Plot Data

ols_prep_avplot_data(): Added variable plot data

ols_prep_regress_x(): Regress predictor on other predictors

ols_prep_regress_y(): Regress y on other predictors

ols_prep_cdplot_data(): Cooks' D plot data

ols_prep_outlier_obs(): Cooks' D outlier observations

ols_prep_cdplot_outliers(): Cooks' d outlier data

ols_prep_dfbeta_data(): DFBETAs plot data

ols_prep_dfbeta_outliers(): DFBETAs plot outliers

ols_prep_dsrvf_data(): Deleted studentized residual plot data

ols_prep_rfsplot_fmdata() ols_prep_rfsplot_rsdata(): Residual fit spread plot data

ols_prep_rvsrplot_data(): Residual vs regressor plot data

ols_prep_rstudlev_data(): Studentized residual vs leverage plot data

ols_prep_srplot_data(): Studentized residual plot data

ols_prep_srchart_data(): Standardized residual chart data

Variable Contribution

ols_plot_resid_regressor(): Residual vs regressor plot

ols_plot_added_variable(): Added variable plots

ols_plot_comp_plus_resid(): Residual plus component plot

rvsr_plot_shiny(): Residual vs regressors plot for shiny app

Miscellaneous

ols_plot_response(): Response variable profile

ols_plot_reg_line(): Simple linear regression line

Data

olsrr comes with a built-in datasets which are used to illustrate the functions as well as for running tests.

surgical: Surgical Unit Data Set

stepdata: Test Data Set