bfsl_control

A positive numeric value specifying the tolerance level for the
convergence criterion

A positive integer specifying the maximum number of iterations allowed.

maxit

<code>bfsl_control</code> allows the user to set some characteristics of the <code>bfsl</code>
best-fit straight line algorithm.

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.

bfsl_control: Controls the Iterations in the bfsl Algorithm

Description

Usage

Arguments

Value

See Also

Examples