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 tofwerk.com> |
| BugReports: | https://github.com/pasturm/bfsl/issues |
| License: | GPL-3 |
| URL: | https://github.com/pasturm/bfsl |
| 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: bfsl_0.1.0.zip, r-release: bfsl_0.1.0.zip, r-oldrel: bfsl_0.1.0.zip |
| macOS binaries: | r-release: bfsl_0.1.0.tgz, r-oldrel: bfsl_0.1.0.tgz |
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