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bfsl  

Best-Fit Straight Line
View on CRAN: Click here


Download and install bfsl package within the R console
Install from CRAN:
install.packages("bfsl")

Install from Github:
library("remotes")
install_github("cran/bfsl")

Install by package version:
library("remotes")
install_version("bfsl", "0.2.0")



Attach the package and use:
library("bfsl")
Maintained by
Patrick Sturm
[Scholar Profile | Author Map]
First Published: 2018-12-16
Latest Update: 2021-09-23
Description:
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 ). 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.
How to cite:
Patrick Sturm (2018). bfsl: Best-Fit Straight Line. R package version 0.2.0, https://cran.r-project.org/web/packages/bfsl. Accessed 03 May. 2025.
Previous versions and publish date:
0.1.0 (2018-12-16 15:50)
Other packages that cited bfsl R package
View bfsl citation profile
Other R packages that bfsl depends, imports, suggests or enhances
Complete documentation for bfsl
Functions, R codes and Examples using the bfsl R package
Some associated functions: augment.bfsl . bfsl . bfsl_control . glance.bfsl . pearson_york_data . plot.bfsl . predict.bfsl . print.bfsl . print.summary.bfsl . reexports . summary.bfsl . tidy.bfsl . 
Some associated R codes: bfsl.R . data.R .  Full bfsl package functions and examples
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