Provides the solution from York (1968) <doi:10.1016/S0012-821X(68)80059-7> for fitting a straight line to bivariate data with errors in both coordinates. It gives unbiased estimates of the intercept, slope and standard errors of the best-fit straight line to independent points with (possibly correlated) normally distributed errors in both x and y. Other commonly used errors-in-variables methods, such as orthogonal distance regression, geometric mean regression or Deming regression are special cases of York’s solution.
Package details |
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Maintainer | |
License | MIT + file LICENSE |
Version | 0.1.0.9006 |
URL | https://github.com/pasturm/bfsl |
Package repository | View on GitHub |
Installation |
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