Man pages for ryan-heslin/RegLesson
Linear Regression from Scratch
| box_cox | Compare the Box-Cox Transformation at Different Levels of... |
| breusch_pagan | Conduct the Breusch-Pagan Test of Heteroscedascity |
| brown_forsythe | Conduct the Brown-Forsythe Test of Equal Variances on... |
| calibrate | Estimate Observations of X from a Given 'Y' |
| center | Center a Vector or Matrix |
| ci | Compute the Bounds of a Confidence Interval |
| confint_betas | Compute Confidence Intervals for Estimated Coefficients |
| confint_EY_h | Compute Confidence Intervals for Regression Estimates |
| correlate_transform | Conduct the Correlation Transformation |
| default_colnames | Assign Generic Column Names to an Object |
| do_problems | Solve Problems Given a Linear Model |
| expected_normal | Find the Expected Values of Residuals Assuming Normality |
| extra_SS | Conduct the Generalized F Test |
| get_default_args | Get a Function's Default Arguments |
| lack_of_fit | Conduct the F Test for Lack of Fit |
| LinRegProblem | Create a New 'LinRegProblem' Object |
| mse | Compute the Mean Squared Error |
| new_LinRegProblem | Construct a LinRegProblem Instance |
| pseudoinverse | Find the Pseudoinverse of a Matrix |
| p_value | Compute Two-sided p-Values under the Normal Distribution |
| regression_relation | Conduct the F Test for Existence of a Regression Relation |
| selfname_list | Name a List's Elements After Itself |
| simple_fit | Fit a Linear Model |
| simple_ols | Conduct Simple Linear Regression |
| SSRDecomp | Decompose Sums of Squares within a Linear Model |
| ssto | Compute the Total Sum of Squares |
| substitute_call | Substitute Values from an Environment into a Call |
| sum_square | Compute the Sum of Squares |
| update.LinRegProblem | Update a 'LinRegProblem' Object with a New Formula |
| Working_Hoteling | Compute Working-Hoteling Confidence Bands |
