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Sigmoid Function

sigmoid.Rd

Functional form for the sigmoid model.

Usage

sigmoid(ac50, hill, top, bottom, log_dose)

Arguments

ac50

numeric, the log_dose of half maximal activity

hill

numeric, slope of curve at the ac50 units of response/log_dose

top

numeric, value of maximal response for positive slope, this occurs when log_dose = Inf, with negative slope when log_dose = -Inf

bottom

numeric, value of minimal response for positive slope, this occurs when log_dose = -Inf, with negative slope when log_dose = Inf

log_dose

numeric, where to evaluate the the response where the log is base 10.

Value

numeric, response given the log_dose and parameters

See also

sigmoid_model

Examples

if (FALSE) { # \dontrun{
 # Generate an agonist curve with an ec50 of 1 μM with the response
 # normalized to [0, 1] over the range 100 nM to 10 μM with half-log steps
 data <- data.frame(
   log_dose = seq(-7, -5, length.out = 5)) |>
     dplyr::mutate(
       response = stats::rnorm(
         n = length(log_dose),
         mean = BayesPharma::sigmoid(
           ac50 = -6,
           hill = 1,
           top = 1,
           bottom = 0,
           log_dose = log_dose),
       sd = .2))
} # }