Fit a mechanistic dose-response model

Fits grouped binomial data by maximum likelihood. Parameters are optimized on the log scale to enforce positivity.

Usage

fit_dose_response(
  data,
  model = c("exponential", "beta_poisson", "exact_beta_poisson"),
  start = NULL,
  control = list(maxit = 2000, reltol = 1e-10)
)

Arguments

data

Grouped dose-response data accepted by as_dose_response().

model

Either "exponential" or "beta_poisson".

start

Optional named vector of positive parameter starting values.

control

Control list passed to stats::optim().

Value

A qdr_fit object.