calculateMAE: Internal: Calculate prediction metrics
In M-E-Steiner/cSEM: Composite-Based Structural Equation Modeling
View source: R/helper_predict.R
calculateMAE R Documentation
Internal: Calculate prediction metrics
Description
Currently, the following prediction measures are available:
Usage
calculateMAE(resid)
Details
Mean absolute error
Mean absolute percentage error
Mean squared error
Root mean squared error
Theil's forecast accuracy
Theil's forecast quality
Bias proportion of MSE
Regression proportion of MSE
Disturbance proportion of MSE
Value
A vector of the prediction measures for the observed variables
belonging to endogenous constructs
M-E-Steiner/cSEM documentation built on March 18, 2024, 12:18 p.m.
R Package Documentation
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View source: R/helper_predict.R
| calculateMAE | R Documentation |
Internal: Calculate prediction metrics
Description
Currently, the following prediction measures are available:
Usage
calculateMAE(resid)
Details
Mean absolute error
Mean absolute percentage error
Mean squared error
Root mean squared error
Theil's forecast accuracy
Theil's forecast quality
Bias proportion of MSE
Regression proportion of MSE
Disturbance proportion of MSE
Value
A vector of the prediction measures for the observed variables belonging to endogenous constructs
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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