fit.curves: fit.curves

In jwilsonwhite/DRcurves: Fit a suite of dose-response curves to data

Description

Fit dose-response curves using MLE

Usage

fit.curves(
  X,
  Y,
  Fname = "",
  Figname = "",
  FigDir = "",
  Ylab = "Y",
  Xlab = "X",
  axis.font = 0.75,
  log.base = NA,
  log.factor = 0,
  FigW = 7,
  FigH = 7,
  SigInit = c(0, 0),
  Uni6Init = c(0, -1, 2, 2, 2, 2),
  Uni5Init = NA,
  reltol = 1e-04
)

Arguments

X	concentrations
Y	response values
Fname	filename for saving figures
Figname	Title to appear on figures
FigDir	Directory where figures will be saved
Ylab	Ylabel for figures
Xlab	Xlabel for figures
axis.font	fontsize for figures
log.base	What base used to transform concentrations (NA = no transformation)
log.factor	value added to log-transformed data to avoid log(0)
FigW	Figure width
FigH	Figure height
SigInit	2-element vector with start values for sigmoidal function
Uni6Init	6-element vector with start values for 5-param unimodal
Uni5Init	5-element vector with start values for 6-param unimodal
reltol	numerical tolerance for mle2

Value

baseline mle2 object for null model

sigmoidal mle2 object for sigmoid DR curve

linear mle2 object for linear DR curve

unimodal5 mle2 object for 5-param unimodal DR curve

unimodal6 mle2 object for 6-param unimodal DR curve

quadratic mle2 object for quadratic DR curve

AIC.table Table with AICc results for each model

ANOVA Table with likelihood ratio test results for each model

FN File name used for plotting

B Identity of 'best' model as judged by likelihood ratio test

Pval Table of likelihood ratio test p-values

jwilsonwhite/DRcurves documentation built on March 14, 2021, 3:51 p.m.