Fit a cardinal parameter model — fit

fit_cardinal() validates the input data, builds the nonlinear model formula, fits it with gslnls::gsl_nls(), and returns a predmicror_fit object.

Usage

fit_cardinal(data, model, x, response = "sqrtGR", start, ...)

Arguments

data: A data frame containing the environmental factor and response variables.
model: A model name, either quoted or unquoted. See predmicror_models().
x: Column containing the environmental factor values, either quoted or unquoted.
response: Column containing the response values, either quoted or unquoted. Defaults to "sqrtGR".
start: Named list of initial parameter values for the selected model.
...: Additional arguments passed to gslnls::gsl_nls().

Value

A predmicror_fit object with the fitted model and metadata.

Details

Cardinal models expect the response to be the square root of the growth rate, usually sqrtGR.

Examples

data(salmonella)
fit <- fit_cardinal(
  salmonella,
  model = "CMTI",
  x = "Temp",
  response = "sqrtGR",
  start = list(Tmax = 42, Tmin = 1, MUopt = 1, Topt = 37)
)
coef(fit)
#>       Tmax       Tmin      MUopt       Topt 
#> 49.0325643  5.0267901  0.7520581 40.3670855