MCResultResampling.initialize: Initialize Method for 'MCResultAnalytical' Objects.

In mcr: Method Comparison Regression

Initialize Method for 'MCResultAnalytical' Objects.

Description

Method initializes newly created objects of class 'MCResultAnalytical'.

Usage

MCResultResampling.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),
  rng.seed = as.numeric(NA),
  rng.kind = "unknown",
  glob.sigma = c(0, 0),
  nsamples = 0,
  nnested = 0,
  B0 = 0,
  B1 = 0,
  MX = 0,
  sigmaB0 = 0,
  sigmaB1 = 0,
  error.ratio = 0,
  weight = 1
)

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
rng.seed	random number generator seed
rng.kind	type of the random number generator
glob.sigma	global sd values for regression parameters
nsamples	number of samples for resampling
nnested	number of inner simulation for nested bootstrap
B0	resampling intercepts
B1	resampling slopes
MX	Numeric vector with point estimations of (weighted-)average of reference method values for each bootstrap sample.
sigmaB0	SD for 'B0'
sigmaB1	SD for 'B1'
error.ratio	for deming regression
weight	1 for each data point

Value

No return value

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