Class "MCResultResampling"

Result of a method comparison with resampling based confidence intervals.

Objects from the Class

Object is typically created by a call to function mcreg. Object can be directly constructed by calling newMCResultResampling or new("MCResultResampling", data, para, xmean, mnames, regmeth, cimeth, bootcimeth, alpha, glob.coef, rng.seed, rng.kind, glob.sigma, nsamples, nnested, B0, B1, MX, sigmaB0, sigmaB1, error.ratio, weight).

Slots

glob.coef:

Object of class "numeric" ~~

glob.sigma:

Object of class "numeric" ~~

xmean:

Object of class "numeric" ~~

nsamples:

Object of class "numeric" ~~

nnested:

Object of class "numeric" ~~

B0:

Object of class "numeric" ~~

B1:

Object of class "numeric" ~~

sigmaB0:

Object of class "numeric" ~~

sigmaB1:

Object of class "numeric" ~~

MX:

Object of class "numeric" ~~

bootcimeth:

Object of class "character" ~~

rng.seed:

Object of class "numeric" ~~

rng.kind:

Object of class "character" ~~

data:

Object of class "data.frame" ~~

para:

Object of class "matrix" ~~

mnames:

Object of class "character" ~~

regmeth:

Object of class "character" ~~

cimeth:

Object of class "character" ~~

error.ratio:

Object of class "numeric" ~~

alpha:

Object of class "numeric" ~~

weight:

Object of class "numeric" ~~

Extends

Class "MCResult", directly.

Methods

calcResponse

signature(.Object = "MCResultResampling"): ...

printSummary

signature(.Object = "MCResultResampling"): ...

summary

signature(.Object = "MCResultResampling"): ...

Author

Ekaterina Manuilova ekaterina.manuilova@roche.com, Andre Schuetzenmeister andre.schuetzenmeister@roche.com, Fabian Model fabian.model@roche.com, Sergej Potapov sergej.potapov@roche.com

Examples

showClass("MCResultResampling")
#> Class "MCResultResampling" [package "mcr"]
#> 
#> Slots:
#>                                                                               
#> Name:    glob.coef  glob.sigma       xmean    nsamples     nnested          B0
#> Class:     numeric     numeric     numeric     numeric     numeric     numeric
#>                                                                               
#> Name:           B1     sigmaB0     sigmaB1          MX  bootcimeth    rng.seed
#> Class:     numeric     numeric     numeric     numeric   character     numeric
#>                                                                               
#> Name:     rng.kind        data        para      mnames     regmeth      cimeth
#> Class:   character  data.frame      matrix   character   character   character
#>                                           
#> Name:  error.ratio       alpha      weight
#> Class:     numeric     numeric     numeric
#> 
#> Extends: "MCResult"