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()
...
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 Sept. 10, 2026, 1:12 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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