A class for storing parameters of a model.
Details
The FLPar
class is based on the array class which can store
Monte Carlo samples and the names of the relevant parameter vectors.
Methods for this class include subsetting and replacement as for the
FLQuant
class. There are methods for extracting
statistics of the sample (mean, median etc.) and for plotting the parameter
samples.
See also
[, [<-, as.data.frame, densityplot, histogram, iter, iter<-, mean, median, plot, splom, summary, units,FLPar-method, units<-,FLPar,character-method, var
Examples
FLPar(rnorm(4), params=c('a','b','c','sigma2'))
#> An object of class "FLPar"
#> params
#> a b c sigma2
#> 1.2404 0.6857 -0.0268 0.3096
#> units: NA NA NA NA
FLPar(rnorm(20), dimnames=list(params=c('a','b'), year=1990:1999, iter=1),
units='NA')
#> An object of class "FLPar"
#> year
#> params 1990 1991 1992 1993 1994 1995 1996 1997
#> a 0.24986 0.59938 0.09072 -0.48178 -0.85954 1.21506 -0.08591 -0.21826
#> b -1.35646 0.00865 -0.65706 0.01776 1.35770 1.45391 -0.61757 -1.32601
#> year
#> params 1998 1999
#> a -2.36221 0.25440
#> b -1.40997 0.29587
#> units: NA
# with iters
FLPar(rnorm(80), params=c('a', 'b'), iter=1:40)
#> An object of class "FLPar"
#> iters: 40
#>
#> params
#> a b
#> 0.12703(1.477) 0.20103(0.714)
#> units: NA NA