Description Usage Arguments Details Value See Also Examples
This function calculates the prediction error from an object of class
"cv4abc"
for each parameter and tolerance level.
1 2 3 |
object |
an object of class |
print |
logical, if |
digits |
the digits to be rounded to. Can be a vector of the same length as the number of parameters, when each parameter is rounded to its corresponding digits. |
... |
other arguments passed to |
The prediction error is calculated as \frac{∑((θ^{*}-θ)^2)}{nval\times Var(θ)}, where θ is the true parameter value, θ^{*} is the predicted parameter value, and nval is the number of points where true and predicted values are compared.
The returned value is an object of class "table"
, where the
columns correspond to the parameters and the rows to the different
tolerance levels.
1 | ## see ?cv4abc for examples
|
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