Man pages for jameshasbany/fastlm
Quick Checks and Visualizations for Linear Models
| add_one_predictor | Helper function that adds one predictor to a model. |
| add_one_predictor_strings | Helper function that adds one predictor to a model sans... |
| bootstrap_lm | Creates a dataframe of bootstrapped standard errors given a... |
| check_bias | Checks omitted variable bias in a variable between an initial... |
| check_bias_all | Checks omitted variable bias in a variable between an initial... |
| check_predictors | Starting with a base linear regression, check_predictors... |
| clustered_errors_lm | Computes a linear regression with clustered standard errors. |
| corrected_errors_lm | Computes a linear regression with standard errors corrected... |
| model_to_formula | Extracts formula call from an lm object |
| pipe | Pipe operator |
| residual_boxplots | Creates scatter plot of residuals and fitted values (and... |
| residual_histogram | Plots the histogram of regression residuals to check for... |
| residual_scatterplots | Creates scatter plot of residuals and fitted values (and... |
| tidy_lm | A simple wrapper on 'lm()' that takes input in a... |
