MCResultBCa-class: Class '"MCResultBCa"'

In mcr: Method Comparison Regression

Class "MCResultBCa"

Description

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(s)

Ekaterina Manuilova [e-mail], Andre Schuetzenmeister [e-mail], Fabian Model [e-mail], Sergej Potapov [e-mail]

Examples

showClass("MCResultBCa")

mcr documentation built on Sept. 23, 2024, 5:10 p.m.