drsmooth functions
There are 8 user-initiated functions in this package; see the help pages
for documentation of each. prelimstats() executes up to 5 tests of homogeneity & normality. noel() executes up to 5 tests to determine the no-observed-effect-level. nlaad(), lbcd(), nlbcd() test linearity across all doses, linearity below a
defined cut-off dose, and non-linearity below a defined cut-off dose,
respectively. spline.plot() only prints the smoothed dose-response curve. segment() returns a two-segment linear dose-response model, by imposing a zero
slope for the initial (left) segment and detecting one breakpoint where the
dose-response relation changes to a positive slope (if such a breakpoint exists). drsmooth() generates a spline model with the input dose and response,
plots the spline-estimated dose-response function with its upper and lower
95 percent confidence bounds along with the actual data,
and returns key metrics related to the dose-response function. expand () expands summarized dichotomous data into the format expected
by drsmooth(), if needed.