FitIsoGrowth | R Documentation |
The class FitIsoGrowth has been superseded by the top-level class GrowthFit, which provides a unified approach for growth modelling.
Still, it is still returned if the superseded fit_isothermal_growth()
is called.
It is a subclass of list with the items:
data: data used for model fitting
model: name of the primary inactivation model
starting_point: initial value of the model parameters
known: fixed model parameters
fit: object returned by modFit()
best_prediction: model prediction for the model fitted.
## S3 method for class 'FitIsoGrowth'
print(x, ...)
## S3 method for class 'FitIsoGrowth'
plot(
x,
y = NULL,
...,
line_col = "black",
line_size = 1,
line_type = 1,
point_col = "black",
point_size = 3,
point_shape = 16
)
## S3 method for class 'FitIsoGrowth'
summary(object, ...)
## S3 method for class 'FitIsoGrowth'
residuals(object, ...)
## S3 method for class 'FitIsoGrowth'
coef(object, ...)
## S3 method for class 'FitIsoGrowth'
vcov(object, ...)
## S3 method for class 'FitIsoGrowth'
deviance(object, ...)
## S3 method for class 'FitIsoGrowth'
fitted(object, ...)
## S3 method for class 'FitIsoGrowth'
predict(object, times = NULL, ...)
## S3 method for class 'FitIsoGrowth'
logLik(object, ...)
## S3 method for class 'FitIsoGrowth'
AIC(object, ..., k = 2)
x |
The object of class |
... |
ignored |
y |
ignored |
line_col |
Aesthetic parameter to change the colour of the line geom in the plot, see: |
line_size |
Aesthetic parameter to change the thickness of the line geom in the plot, see: |
line_type |
Aesthetic parameter to change the type of the line geom in the plot, takes numbers (1-6) or strings ("solid") see: |
point_col |
Aesthetic parameter to change the colour of the point geom, see: |
point_size |
Aesthetic parameter to change the size of the point geom, see: |
point_shape |
Aesthetic parameter to change the shape of the point geom, see: |
object |
an instance of FitIsoGrowth |
times |
numeric vector describing the time points for the prediction.
If |
k |
penalty for the parameters (k=2 by default) |
print(FitIsoGrowth)
: print of the model
plot(FitIsoGrowth)
: compares the fitted model against the data.
summary(FitIsoGrowth)
: statistical summary of the fit.
residuals(FitIsoGrowth)
: vector of model residuals.
coef(FitIsoGrowth)
: vector of fitted model parameters.
vcov(FitIsoGrowth)
: variance-covariance matrix of the model, estimated
as 1/(0.5*Hessian)
deviance(FitIsoGrowth)
: deviance of the model.
fitted(FitIsoGrowth)
: vector of fitted values.
predict(FitIsoGrowth)
: vector of model predictions.
logLik(FitIsoGrowth)
: loglikelihood of the model
AIC(FitIsoGrowth)
: Akaike Information Criterion
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