Package: bfsl 0.2.1

Patrick Sturm

bfsl: Best-Fit Straight Line

How to fit a straight line through a set of points with errors in both coordinates? The 'bfsl' package implements the York regression (York, 2004 <doi:10.1119/1.1632486>). It provides unbiased estimates of the intercept, slope and standard errors for 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 the 'bfsl' solution.

Authors:Patrick Sturm [aut, cre]

bfsl_0.2.1.tar.gz
bfsl_0.2.1.zip(r-4.5)bfsl_0.2.1.zip(r-4.4)bfsl_0.2.1.zip(r-4.3)
bfsl_0.2.1.tgz(r-4.4-any)bfsl_0.2.1.tgz(r-4.3-any)
bfsl_0.2.1.tar.gz(r-4.5-noble)bfsl_0.2.1.tar.gz(r-4.4-noble)
bfsl_0.2.1.tgz(r-4.4-emscripten)bfsl_0.2.1.tgz(r-4.3-emscripten)
bfsl.pdf |bfsl.html
bfsl/json (API)
NEWS

# Install 'bfsl' in R:
install.packages('bfsl', repos = c('https://pasturm.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/pasturm/bfsl/issues

Datasets:

On CRAN:

5 exports 2 stars 0.74 score 1 dependencies 10 scripts 279 downloads

Last updated 2 years agofrom:9096b1e682. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winOKAug 24 2024
R-4.5-linuxOKAug 24 2024
R-4.4-winOKAug 24 2024
R-4.4-macOKAug 24 2024
R-4.3-winOKAug 24 2024
R-4.3-macOKAug 24 2024

Exports:augmentbfslbfsl_controlglancetidy

Dependencies:generics