predict.MfU: Sample-based prediction using "MfU" Objects

Description

Method for sample-based prediction using the output of MfU.Sample.Run.

Usage

# S3 method for MfU
predict(object, fpred, ...)
# S3 method for predict.MfU
summary(object, start = round(nrow(object)/2) + 1
  , end = nrow(object), thin = 1
  , quantiles = c(0.025, 0.5, 0.975), ...)
# S3 method for summary.predict.MfU
print(x, n = 6L, ...)

Value

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.

Arguments

object: Object of class "MfU" (output of MfU.Sample.Run) or "predict.MfU" (output of predict.MfU).
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 thin samples are kept for calculating sample statistics. Default is 1, using all samples within specified range.
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.

Author

Alireza S. Mahani, Mansour T.A. Sharabiani

References