W2: The two-parameter Weibull functions
In MaximeBSanofi/drc2:

Description Usage Arguments Details Value Note Author(s) See Also Examples

'W1.2' is the two-parameter Weibull function where the lower limit is fixed at 0 and the upper limit is fixed at 1, mostly suitable for binomial/quantal responses.

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  W1.2(upper = 1, fixed = c(NA, NA), names = c("b", "e"), ...)
  
  W2.2(upper = 1, fixed = c(NA, NA), names = c("b", "e"), ...)

`upper`	numeric value. The fixed, upper limit in the model. Default is 1.
`fixed`	numeric vector. Specifies which parameters are fixed and at what value they are fixed. NAs for parameter that are not fixed.
`names`	a vector of character strings giving the names of the parameters. The default is reasonable.
`...`	additional arguments to be passed from the convenience functions.

The two-parameter Weibull model is given by the expression

f(x) = \exp(-\exp(b(\log(x)-e))).

The function is asymmetric about the inflection point, that is the parameter \exp(e).

See weibull1.

This function is for use with the function drm.

Christian Ritz

Related functions are W1.3, W1.4, weibull1 and weibull2.

## Fitting a two-parameter Weibull model
earthworms.m1 <- drm(number/total~dose, weights = total,
data = earthworms, fct = W1.2(), type = "binomial")

summary(earthworms.m1)