Print Summary of a Regression Analysis

A copy from mcr::printSummary in mcr package

Usage

printSummary(...)

Arguments

...

Arguments passed on to mcr::printSummary

.Object

object of type "MCResult".

Examples

data(platelet)
fit <- mcreg(
  x = platelet$Comparative, y = platelet$Candidate,
  method.reg = "Deming", method.ci = "jackknife"
)
#> Jackknife based calculation of standard error and confidence intervals according to Linnet's method.
printSummary(fit)
#> 
#> 
#> ------------------------------------------
#> 
#> Reference method: Method1
#> Test method:     Method2
#> Number of data points: 120
#> 
#> ------------------------------------------
#> 
#> The confidence intervals are calculated with jackknife (Linnet's) method.
#> Confidence level: 95%
#> Error ratio: 1
#> 
#> ------------------------------------------
#> 
#> DEMING REGRESSION FIT:
#> 
#>                EST          SE       LCI      UCI
#> Intercept 4.335885 1.568968372 1.2289002 7.442869
#> Slope     1.012951 0.009308835 0.9945175 1.031386
#> 
#> 
#> ------------------------------------------
#> 
#> JACKKNIFE SUMMARY
#> 
#>                EST Jack.Mean          Bias     Jack.SE
#> Intercept 4.335885  4.336377  4.918148e-04 1.568968372
#> Slope     1.012951  1.012950 -1.876312e-06 0.009308835
#> NULL