linearQuadraticModel: Fit linear-quadratic curves to dose-response data
In RadioGx: Analysis of Large-Scale Radio-Genomic Data

Description Usage Arguments Value Examples

This function fits a linear-quadratic curve to dose-response data.

linearQuadraticModel(
  D,
  SF,
  lower_bounds = c(0, 0),
  upper_bounds = c(1, 1),
  scale = 5,
  family = c("normal", "Cauchy"),
  median_n = 1,
  trunc = FALSE,
  verbose = FALSE
)

`D`	vector of radiation doses
`SF`	vector of survival fractions corresponding to the doses
`lower_bounds`	vector of length 2 containing minimum allowed values of fitted alpha and beta, respectively
`upper_bounds`	vector of length 2 containing maximum allowed values of fitted alpha and beta, respectively
`scale`	parameter of the assumed error distribution of the data; see sdetails
`family`	family of distributions of the error terms in the data; currently supported options are "normal" and "cauchy"
`median_n`	see details
`trunc`	should survival fractions be truncated downward to 1? Defaults to FALSE.
`verbose`	'verbose' outputs warnings that are otherwised suppressed when the function sanity-checks user inputs. 'median_n' denotes the number of distributions from family 'family' that are medianned. (Note that setting n = 1 (the default) is equivalent to using a simple normal or cauchy distribution without taking any medians.)