robustify_drc: Make a robust DRC estimate using a method based on Nguyen et...

In hemoshear/assayr2: Tools for analyzing assay data

Description

Make a robust DRC estimate using a method based on Nguyen et al. 2014

Usage

robustify_drc(object, form, conv = 0.01, maxits = 100,
  verbose = FALSE, drm_error = FALSE)

Arguments

object	An object of class drc fit with drm() and the argument fct = LL.4().
form	A formula associated with the object.
conv	Numeric value representing the convergence criterion (manhattan distance between weight vectors).
maxits	Numeric value representing maximum number of iterations.
verbose	Logical. If TRUE reports the manhattan distance for each iteration.
drm_error	Logical. Determines if drc() convergence failure results in a error (TRUE) or warning (FALSE)

Examples

mtcars2 <- mtcars
mtcars2$wt[c(10:12)] <- mtcars2$wt[c(10:12)] * 2
object <- drc::drm(disp~wt, data=mtcars2, fct=drc::LL.4())
robustify_drc(object, disp ~ wt, verbose = TRUE)

hemoshear/assayr2 documentation built on Nov. 8, 2019, 6:13 p.m.