mse: Mean Squared Error
In IRTM: Theory-Driven Item Response Theory (IRT) Models
mse R Documentation
Mean Squared Error
Description
loss function for benchmarks
Usage
mse(ytrue, ypred, aggregate = TRUE, root = FALSE)
Arguments
ytrue
observed values,
ypred
predicted values
aggregate
logical for whether to take mean of estimate
root
logical for whether to return square root of MSE
Value
mean squared error
IRTM documentation built on June 8, 2025, 10:46 a.m.
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| mse | R Documentation |
Mean Squared Error
Description
loss function for benchmarks
Usage
mse(ytrue, ypred, aggregate = TRUE, root = FALSE)
Arguments
ytrue |
observed values, |
ypred |
predicted values |
aggregate |
logical for whether to take mean of estimate |
root |
logical for whether to return square root of MSE |
Value
mean squared error
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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