Class "MCResultBCa"

Result of a method comparison with BCa-bootstrap based confidence intervals.

Objects from the Class

Object is typically created by a call to function mcreg. Object can be directly constructed by calling newMCResultBCa or new("MCResultBCa", data, para, xmean, mnames, regmeth, cimeth, bootcimeth, alpha, glob.coef, glob.sigma, nsamples, nnested, B0jack, B1jack, B0, B1, MX, rng.seed, rng.kind, sigmaB0, sigmaB1, error.ratio, weight).

Slots

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" ~~

glob.coef:

Object of class "numeric" ~~

B0jack:

Object of class "numeric" ~~

B1jack:

Object of class "numeric" ~~

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 "MCResultJackknife", directly. Class "MCResult", by class "MCResultJackknife", distance 2.

Methods

calcResponse

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

printSummary

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

summary

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

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("MCResultBCa")
#> Class "MCResultBCa" [package "mcr"]
#> 
#> Slots:
#>                                                                               
#> Name:   glob.sigma       xmean    nsamples     nnested          B0          B1
#> Class:     numeric     numeric     numeric     numeric     numeric     numeric
#>                                                                               
#> Name:      sigmaB0     sigmaB1          MX  bootcimeth    rng.seed    rng.kind
#> Class:     numeric     numeric     numeric   character     numeric   character
#>                                                                               
#> Name:    glob.coef      B0jack      B1jack        data        para      mnames
#> Class:     numeric     numeric     numeric  data.frame      matrix   character
#>                                                                   
#> Name:      regmeth      cimeth error.ratio       alpha      weight
#> Class:   character   character     numeric     numeric     numeric
#> 
#> Extends: 
#> Class "MCResultJackknife", directly
#> Class "MCResult", by class "MCResultJackknife", distance 2