nls_fit: Non-linear Least Squares Fit
In chapmandu2/pgxsim: Simulate Dose Response Curves For Pharmacogenomics Analysis

Description Usage Arguments Details Value Examples

Fit a dose response curve using the Levenberg-Marquardt Nonlinear Least-Squares squares algorithm from the minpack.lm package. Estimated pIC50 values can be extracted from the fit using the nls_extract function.

1	nls_fit(df)

`df`	A data frame with column names resp, conc and cell_id.

NOTE: sometimes the fit will fail, in which case null is returned

an object of class 'nls' representing the nonlinear least squares model fit.

data(drc_data_small)
cl1_data <- dplyr::filter(drc_data_small, cell_id==1)
fit <- nls_fit(cl1_data)
fit
broom::tidy(fit)  #on log-normal scale
nls_extract(fit)  #convenience function converts scales automatically