gtoxFit {GladiaTOX} | R Documentation

## 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")

[Package GladiaTOX version 1.4.0 Index]