rmse: Root Mean Squared Error
In MCCM: Mixed Correlation Coefficient Matrix
rmse R Documentation
Root Mean Squared Error
Description
Calculate the RMSE of an array of estimates relative to the true value.
Usage
rmse(rhohat, rho)
Arguments
rhohat
an array of estimators of rho.
rho
the true value of rho.
Value
the root mean squared error of rhohat array.
See Also
mb
mrb
Examples
rho = 0.5
rhohat = 0.5 + rnorm(10)
rmse(rhohat,rho)
MCCM documentation built on May 29, 2024, 12:09 p.m.
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| rmse | R Documentation |
Root Mean Squared Error
Description
Calculate the RMSE of an array of estimates relative to the true value.
Usage
rmse(rhohat, rho)
Arguments
rhohat |
an array of estimators of rho. |
rho |
the true value of rho. |
Value
the root mean squared error of rhohat array.
See Also
mb mrb
Examples
rho = 0.5
rhohat = 0.5 + rnorm(10)
rmse(rhohat,rho)
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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