FitSerial: FitSerial class

Description

The FitSerial class contains growth rates estimated using the function fit_serial_dilution().

It is a subclass of list with the items:

fit: object returned by nls().
mode: fitting approach.
data: data used for the model fitting.

Usage

# S3 method for FitSerial
print(x, ...)
# S3 method for FitSerial
coef(object, ...)
# S3 method for FitSerial
summary(object, ...)
# S3 method for FitSerial
predict(object, newdata = NULL, ...)
# S3 method for FitSerial
residuals(object, ...)
# S3 method for FitSerial
vcov(object, ...)
# S3 method for FitSerial
deviance(object, ...)
# S3 method for FitSerial
fitted(object, ...)
# S3 method for FitSerial
logLik(object, ...)
# S3 method for FitSerial
AIC(object, ..., k = 2)
# S3 method for FitSerial
plot(
  x,
  y = NULL,
  ...,
  line_col = "black",
  line_size = 1,
  line_type = 1,
  point_col = "black",
  point_size = 3,
  point_shape = 16,
  label_y = NULL,
  label_x = NULL
)

Arguments

x: The object of class FitSerial to plot.
...: ignored.
object: an instance of FitSerial
newdata: tibble (or data.frame) with the conditions for the prediction. If NULL (default), the fitting conditions.
k: penalty for the parameters (k=2 by default)
y: ignored
line_col: colour of the line
line_size: size of the line
line_type: type of the line
point_col: colour of the points
point_size: size of the points
point_shape: shape of the point
label_y: label for the y-axis. By default, NULL (default value depending on the mode)
label_x: label for the x-axis. By default, NULL (default value depending on the mode)

Methods (by generic)

print(FitSerial): print of the model
coef(FitSerial): vector of fitted model parameters.
summary(FitSerial): statistical summary of the fit.
predict(FitSerial): vector of model predictions.
residuals(FitSerial): vector of model residuals.
vcov(FitSerial): variance-covariance matrix of the model
deviance(FitSerial): deviance of the model.
fitted(FitSerial): vector of fitted values.
logLik(FitSerial): loglikelihood of the model
AIC(FitSerial): Akaike Information Criterion
plot(FitSerial): compares the fitted model against the data.