gtoxFit: Fit the data with the constant, hill, and gain-loss models

In pmpsa-hpc/GladiaTOX: R Package for Processing High Content Screening data

Fit the data with the constant, hill, and gain-loss models

Description

gtoxFit fits the constant, hill, and gain-loss models to the given data and returns some summary statistics and the fit parameters in a list.

Usage

gtoxFit(logc, resp, bmad, force.fit = FALSE, ...)

Arguments

logc	Numeric, log concentration values
resp	Numeric, normalized response values
bmad	Numeric, the baseline median absolute deviation for the entire assay
force.fit	Logical, TRUE indicates to attempt fitting every concentration series
...	Any other data to be included in list output.

Details

By default, gtoxFit will only attempt to fit concentration series when at least one median value is greater than 3*bmad.

Value

List of summary values and fit parameters for the given data.

See Also

gtoxObjCnst, gtoxObjHill, gtoxObjGnls, constrOptim

Examples

logc <- 1:10
resp <- sapply(1:10, gtoxHillVal, ga = 5, tp = 50, gw = 0.5)
params <- gtoxFit(logc = logc, resp = resp, bmad = 10)
plot(resp ~ logc)
gtoxAddModel(pars = params, modl = "hill")

pmpsa-hpc/GladiaTOX documentation built on Sept. 1, 2023, 5:52 p.m.