Method for sample-based prediction using the output of MfU.Sample.Run
.
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object |
Object of class "MfU" (output of |
fpred |
Prediction function, accepting a single value for the state vector and producing a vector of outputs. |
start |
Which iteration to start from for calculating sample statistics. |
end |
Last iteration to use for calculating sample statistics. Defaults to last iteration. |
thin |
One out of |
quantiles |
Values for which sample-based quantiles are calculated. |
x |
An object of class "summary.predict.MfU". |
n |
Number of rows of prediction matrix to print. |
... |
Arguments passed to/from other functions. |
predict.MfU
produces a matrix with number of rows equal to the length of prediction vector produces by fpred
. Its numnber of columns is equal to the number of samples used within the user-specified range, and after thinning (if any). summary.predict.MfU
produces sample-based prediction mean, standard deviation, quantiles, and effective sample size.
Alireza S. Mahani, Mansour T.A. Sharabiani
MfU.Sample.Run
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
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