MCResultBCa.initialize {mcrPioda}

Initialize Method for 'MCResultBCa' Objects.

Description

Method initializes newly created objects of class 'MCResultBCa'.

Usage

MCResultBCa.initialize(
  .Object,
  data = data.frame(X = NA, Y = NA),
  para = matrix(NA, ncol = 4, nrow = 2),
  xmean = 0,
  mnames = c("unknown", "unknown"),
  regmeth = "unknown",
  cimeth = "unknown",
  bootcimeth = "unknown",
  alpha = 0.05,
  glob.coef = c(0, 0),
  glob.sigma = c(0, 0),
  nsamples = 0,
  nnested = 0,
  B0jack = 0,
  B1jack = 0,
  B0 = 0,
  B1 = 0,
  MX = 0,
  rng.seed = as.numeric(NA),
  rng.kind = "unknown",
  sigmaB0 = 0,
  sigmaB1 = 0,
  error.ratio = 0,
  weight = 1,
  robust.cov = "MCD"
)

Arguments

.Object

object to be initialized

data

empty data.frame

para

empty coefficient matrix

xmean

0 for init-purpose

mnames

empty method names vector

regmeth

string specifying the regression-method

cimeth

string specifying the confidence interval method

bootcimeth

string specifying the method for bootstrap confidence intervals

alpha

value specifying the 100(1-alpha)% confidence-level

glob.coef

global coefficients

glob.sigma

global sd values for regression parameters

nsamples

number of samples for resampling

nnested

number of inner simulation for nested bootstrap

B0jack

jackknife intercept

B1jack

jackknife slope

B0

intercept

B1

slope

MX

parameter

rng.seed

random number generator seed

rng.kind

type of the random number generator

sigmaB0

SD for intercepts

sigmaB1

SD for slopes

error.ratio

for Deming regression

weight

1 for each data point

robust.cov

"MCD", "SDe" or "Classic" covariance method see rrcov

Value

No return value