rmse: computes a Monte Carlo approximation of an estimator's...
In NeuralEstimators: Likelihood-Free Parameter Estimation using Neural Networks
rmse R Documentation
computes a Monte Carlo approximation of an estimator's root-mean-square error (RMSE)
Description
computes a Monte Carlo approximation of an estimator's root-mean-square error (RMSE)
Usage
rmse(assessment, ...)
Arguments
assessment
an object returned by assess() (or the estimates data frame of this object)
...
optional arguments inherited from risk (excluding the argument loss)
Value
a dataframe giving the estimated RMSE
See Also
assess(), bias(), risk()
NeuralEstimators documentation built on Nov. 3, 2024, 9:07 a.m.
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| rmse | R Documentation |
computes a Monte Carlo approximation of an estimator's root-mean-square error (RMSE)
Description
computes a Monte Carlo approximation of an estimator's root-mean-square error (RMSE)
Usage
rmse(assessment, ...)
Arguments
assessment |
an object returned by |
... |
optional arguments inherited from |
Value
a dataframe giving the estimated RMSE
See Also
assess(), bias(), risk()
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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