fitch: Fit Characteristics
In sysid: System Identification in R
Description
Usage
Arguments
Value
Description
Returns quantitative assessment of the estimated model as a list
Usage
1
fitch(x)
Arguments
x
the estimated model
Value
A list containing the following elements
MSE
Mean Square Error measure of how well the response of the model fits
the estimation data
FPE
Final Prediction Error
FitPer
Normalized root mean squared error (NRMSE) measure of how well the
response of the model fits the estimation data, expressed as a percentage.
AIC
Raw Akaike Information Citeria (AIC) measure of model quality
AICc
Small sample-size corrected AIC
nAIC
Normalized AIC
BIC
Bayesian Information Criteria (BIC)
sysid documentation built on May 2, 2019, 4:18 a.m.
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Description Usage Arguments Value
Description
Returns quantitative assessment of the estimated model as a list
Usage
1 | fitch(x)
|
Arguments
x |
the estimated model |
Value
A list containing the following elements
MSE |
Mean Square Error measure of how well the response of the model fits the estimation data |
FPE |
Final Prediction Error |
FitPer |
Normalized root mean squared error (NRMSE) measure of how well the response of the model fits the estimation data, expressed as a percentage. |
AIC |
Raw Akaike Information Citeria (AIC) measure of model quality |
AICc |
Small sample-size corrected AIC |
nAIC |
Normalized AIC |
BIC |
Bayesian Information Criteria (BIC) |
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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