FitSerial: FitSerial class

In albgarre/biogrowth: Modelling of Population Growth

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 class 'FitSerial'
print(x, ...)

## S3 method for class 'FitSerial'
coef(object, ...)

## S3 method for class 'FitSerial'
summary(object, ...)

## S3 method for class 'FitSerial'
predict(object, newdata = NULL, ...)

## S3 method for class 'FitSerial'
residuals(object, ...)

## S3 method for class 'FitSerial'
vcov(object, ...)

## S3 method for class 'FitSerial'
deviance(object, ...)

## S3 method for class 'FitSerial'
fitted(object, ...)

## S3 method for class 'FitSerial'
logLik(object, ...)

## S3 method for class 'FitSerial'
AIC(object, ..., k = 2)

## S3 method for class '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.

albgarre/biogrowth documentation built on April 12, 2025, 9:46 a.m.