bfsl: Best-Fit Straight Line

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.

Getting started

Package details

AuthorPatrick Sturm [aut, cre]
MaintainerPatrick Sturm <[email protected]>
Package repositoryView on CRAN
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bfsl documentation built on Dec. 16, 2018, 5:04 p.m.