predict.MfU {MfUSampler} | R Documentation |
Sample-based prediction using "MfU" Objects
Description
Method for sample-based prediction using the output of MfU.Sample.Run
.
Usage
## S3 method for class 'MfU'
predict(object, fpred, ...)
## S3 method for class '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 class 'summary.predict.MfU'
print(x, n = 6L, ...)
Arguments
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. |
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.
Author(s)
Alireza S. Mahani, Mansour T.A. Sharabiani
References
Mahani A.S and Sharabiani M.T.A. (2017). Multivariate-From-Univariate MCMC Sampler: The R Package MfUSampler. Journal of Statistical Software, Code Snippets, 78(1), 1-22. doi:10.18637/jss.v078.c01