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.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Suggests: testthat
Published: 2018-12-16
Author: Patrick Sturm [aut, cre]
Maintainer: Patrick Sturm <sturm at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: bfsl results


Reference manual: bfsl.pdf
Package source: bfsl_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: bfsl_0.1.0.tgz, r-oldrel: bfsl_0.1.0.tgz


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