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-4.7-any)bfsl_0.2.1.zip(r-4.6-any)bfsl_0.2.1.zip(r-4.5-any)
bfsl_0.2.1.tgz(r-4.6-any)bfsl_0.2.1.tgz(r-4.5-any)
bfsl_0.2.1.tar.gz(r-4.7-any)bfsl_0.2.1.tar.gz(r-4.6-any)
bfsl_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bfsl/json (API)

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

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

Datasets:

On CRAN:

Conda:

3.18 score 3 stars 6 scripts 281 downloads 5 exports 1 dependencies

Last updated from:9096b1e682. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK115
source / vignettesOK197
linux-releaseOK112
macos-releaseOK137
macos-oldrelOK138
windows-develOK81
windows-releaseOK52
windows-oldrelOK61
wasm-releaseOK101

Exports:augmentbfslbfsl_controlglancetidy

Dependencies:generics