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

In daynefiler/tcpl: ToxCast Data Analysis Pipeline

Description

tcplFit 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

tcplFit(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, tcplFit 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

tcplObjCnst, tcplObjHill, tcplObjGnls, constrOptim

Examples

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

daynefiler/tcpl documentation built on May 15, 2019, 1:18 a.m.