FitCoupledGrowth {biogrowth} | R Documentation |
FitCoupledGrowth class
Description
The FitCoupledGrowth
class contains a Baranyi model fitted to experimental data
considering the coupling between the primary and secondary models.
Its constructor is fit_coupled_growth()
.
It is a subclass of list with the items:
fit: object returned by
FME::modFit()
.mode: fitting approach.
weight: type of weights for the two-steps approach.
logbase_mu: base of the logarithm used for the calculation of mu.
data: data used for the model fitting.
Usage
## S3 method for class 'FitCoupledGrowth'
print(x, ...)
## S3 method for class 'FitCoupledGrowth'
coef(object, ...)
## S3 method for class 'FitCoupledGrowth'
summary(object, ...)
## S3 method for class 'FitCoupledGrowth'
predict(object, newdata = NULL, ...)
## S3 method for class 'FitCoupledGrowth'
residuals(object, ...)
## S3 method for class 'FitCoupledGrowth'
vcov(object, ...)
## S3 method for class 'FitCoupledGrowth'
deviance(object, ...)
## S3 method for class 'FitCoupledGrowth'
fitted(object, ...)
## S3 method for class 'FitCoupledGrowth'
logLik(object, ...)
## S3 method for class 'FitCoupledGrowth'
AIC(object, ..., k = 2)
## S3 method for class 'FitCoupledGrowth'
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 FitCoupledGrowth to plot. |
... |
ignored. |
object |
an instance of FitCoupledGrowth |
newdata |
tibble (or data.frame) with the conditions for the prediction.
If |
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, |
label_x |
label for the x-axis. By default, |
Methods (by generic)
-
print(FitCoupledGrowth)
: print of the model -
coef(FitCoupledGrowth)
: vector of fitted model parameters. -
summary(FitCoupledGrowth)
: statistical summary of the fit. -
predict(FitCoupledGrowth)
: vector of model predictions. -
residuals(FitCoupledGrowth)
: vector of model residuals. -
vcov(FitCoupledGrowth)
: variance-covariance matrix of the model, estimated as 1/(0.5*Hessian) for regression -
deviance(FitCoupledGrowth)
: deviance of the model. -
fitted(FitCoupledGrowth)
: vector of fitted values. -
logLik(FitCoupledGrowth)
: loglikelihood of the model -
AIC(FitCoupledGrowth)
: Akaike Information Criterion -
plot(FitCoupledGrowth)
: compares the fitted model against the data.