Description Usage Arguments Functions
The FitIsoGrowth
class contains a growth model fitted to data under
static conditions. Its constructor is fit_isothermal_growth
.
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.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33  ## 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, ...)

x 
The object of class 
y 
ignored 
... 
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 (16) 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 
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
: variancecovariance 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.
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