OptionalbootstrapBootstrap: the coefficients of the resamples kept, in the order drawn (mcr's @B0, @B1), their standard errors
(@sigmaB0, @sigmaB1: the standard deviation of the nested estimates, the analytical standard error for Deming,
the jackknife one for weighted Deming with BCa, else NaN), the global standard errors (@glob.sigma) and the
number of resamples kept.
The global standard errors of the intercept and the slope (mcr's @glob.sigma).
The intercepts of the resamples kept, in the order drawn (mcr's @B0).
The number of resamples kept.
The standard errors of the intercepts (mcr's @sigmaB0).
The standard errors of the slopes (mcr's @sigmaB1).
The slopes of the resamples kept (mcr's @B1).
The level of the intervals.
OptionalcusumPassing-Bablok: the linearity statistic (mcr's calcCUSUM): the numbers of points above and below the line and
the largest absolute cumulative sum of their scores ordered along the line.
The largest absolute cumulative sum of the scores ordered along the line.
The number of points below the line.
The number of points above the line.
The ratio of the error variances used (1 for Passing-Bablok).
The intercept (mcr's row Intercept of @para).
OptionaljackknifeJackknife: the leave-one-out coefficients (mcr's @B0jack, @B1jack; also for the BCa interval).
The intercepts with each point left out (mcr's @B0jack).
The slopes with each point left out (mcr's @B1jack).
OptionalmethodThe bootstrap interval, in full (bootstrap methods only).
The interval method, in full.
The regression method, in full.
Number of pairs used.
The slope (mcr's row Slope of @para).
Warnings (the weighted Deming iteration not converging, degenerate resamples, an undefined interval).
OptionalweightsWeighted Deming: the weights of the last iteration (mcr's @weight); Infinity where beyond the double range.
The mean of x (Deming), the weighted mean of the last iteration (weighted Deming), NaN (Passing-Bablok).
Result of mcreg.