mse: Generic method for computing the mean squared error (MSE) of...
In queelius/algebraic.mle: Algebraic Maximum Likelihood Estimators
View source: R/algebraic.mle.R
mse R Documentation
Generic method for computing the mean squared error (MSE) of an estimator,
'mse(x) = E[(x-mu)^2]' where 'mu' is the true parameter value.
Description
Generic method for computing the mean squared error (MSE) of an estimator,
'mse(x) = E[(x-mu)^2]' where 'mu' is the true parameter value.
Usage
mse(x, theta)
Arguments
x
the object to compute the MSE of
theta
the true parameter value
queelius/algebraic.mle documentation built on Jan. 29, 2025, 3:23 p.m.
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View source: R/algebraic.mle.R
| mse | R Documentation |
Generic method for computing the mean squared error (MSE) of an estimator, 'mse(x) = E[(x-mu)^2]' where 'mu' is the true parameter value.
Description
Generic method for computing the mean squared error (MSE) of an estimator, 'mse(x) = E[(x-mu)^2]' where 'mu' is the true parameter value.
Usage
mse(x, theta)
Arguments
x |
the object to compute the MSE of |
theta |
the true parameter value |
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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