expected_normal: Find the Expected Values of Residuals Assuming Normality
In ryan-heslin/RegLesson: Linear Regression from Scratch
expected_normal R Documentation
Find the Expected Values of Residuals Assuming Normality
Description
Find the Expected Values of Residuals Assuming Normality
Usage
expected_normal(ranks, mse)
Arguments
ranks
Ranks of model residuals.
mse
Estimated mean squared error of the model.
Details
This function computes the expected values of model residuals under a normal distribution, as the ordinary model assumptions say they should. The results can be used in normality tests. See ALSM, p. 110-111.
Value
Vector of the expected value approximation described above.
ryan-heslin/RegLesson documentation built on Aug. 5, 2022, 9:03 p.m.
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| expected_normal | R Documentation |
Find the Expected Values of Residuals Assuming Normality
Description
Find the Expected Values of Residuals Assuming Normality
Usage
expected_normal(ranks, mse)
Arguments
ranks |
Ranks of model residuals. |
mse |
Estimated mean squared error of the model. |
Details
This function computes the expected values of model residuals under a normal distribution, as the ordinary model assumptions say they should. The results can be used in normality tests. See ALSM, p. 110-111.
Value
Vector of the expected value approximation described above.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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