Functions and Data Sets for the Book "A Progressive Introduction to Linear Models"
Check arguments of cooks_test
Check arguments of dfbeta_plot
Check arguments of dfbetas_plot
Check arguments of dffits_test
Check arguments of residual_plot.lm
Check arguments of dfbetas_plot
Check arguments of leverage_test
Check arguments of outlier_test
Check arguments of residual_plot.lm
Automatically determine mfrow
Plot confint_adjust object
Compare coefficients of 2 models
Return coefficient matrix
Combine coefficients
Adjust confidence intervals for multiple comparisons
Index plot of Cook's distances for lm object
Cook's statistics
Identify influential observations
dfbeta index plots
dfbetas index plots
Index plot of DFFITS values for lm object
DFFITS statistics
Identify influential observations
Format percentages
Extract residuals from a model
Get elements for dfbetas index plot
Index plot of statistics from of an lm object
Create plot elements for index_plot_lm
Index plot helper function
Influence plots
Influence statistics
Index plot of leverage values for lm object
Leverage statistics
Identify leverage points
Index plot of studentized residuals for lm object
Outlier statistics
Identify outliers
Plot confint_adjust x
Adjust prediction intervals for multiple comparisons
Print an object of class coef_matrix produced by the coef_matrix f...
Print confint_adjust object
Print predict_adjust object
Plot residuals of a fitted lm object
Plot residuals of a fitted model
Compute leave-one-out residuals for lm objects.
Compute leave-one-out residuals
Helper function for residuals_plot.lm
Set default values of abline_arglist
Set default values of lines_arglist
Set the default values of text_arglist if not specified by the user.
Spread-level plot for lm object
Spread-level plot of a fitted model
Simplifies aspects of linear regression analysis, particularly simultaneous inference. Additionally, supports "A Progressive Introduction to Linear Models" by Joshua French (<https://jfrench.github.io/LinearRegression/>).