marginalNLS {BIGL} R Documentation

## Fit two 4-parameter log-logistic functions with non-linear least squares

### Description

This function does not automatically extract marginal data and requires model input obtained from constructFormula.

### Usage

marginalNLS(data, transforms = NULL, start, model, nlsfn = nls, ...)


### Arguments

 data Dose-response dataframe. Marginal data will be extracted from it automatically. transforms Transformation functions. If non-null, transforms is a list containing 5 elements, namely biological and power transformations along with their inverse functions and compositeArgs which is a list with argument values shared across the 4 functions. See vignette for more information. start Starting parameter values. If not specified, they will be obtained from initialMarginal. model List with model parameters. Typically, this is an output from constructFormula. nlsfn Non-linear least-squares optimizer function ... Further arguments that are passed to the optimizer function, such as lower or upper (for the "nlslm" method), or control.

[Package BIGL version 1.6.6 Index]