GrowthComparison {biogrowth}  R Documentation 
GrowthComparison class
Description
The GrowthComparison
class contains several functions for model comparison
and model selection of growth models. It should not be instanced directly. Instead,
it should be constructed using compare_growth_fits()
.
It includes two type of tools for model selection and comparison: statistical indexes and visual analyses. Please check the sections below for details.
Note that all these tools use the names defined in compare_growth_fits()
, so
we recommend passing a named list to that function.
Usage
## S3 method for class 'GrowthComparison'
plot(x, y, ..., type = 1, add_trend = TRUE)
## S3 method for class 'GrowthComparison'
coef(object, ...)
## S3 method for class 'GrowthComparison'
print(x, ...)
## S3 method for class 'GrowthComparison'
summary(object, ...)
Arguments
x 
an instance of GrowthComparison 
y 
ignored 
... 
ignored 
type 
if type==1, the plot compares the model predictions. If type ==2, the plot compares the parameter estimates. If type==3, the plot shows the residuals 
add_trend 
should a trend line of the residuals be added for type==3? 
object 
an instance of GrowthComparison 
Methods (by generic)

plot(GrowthComparison)
: illustrations comparing the fitted models 
coef(GrowthComparison)
: table of parameter estimates 
print(GrowthComparison)
: print of the model comparison 
summary(GrowthComparison)
: summary table for the comparison
Statistical indexes
GrowthComparison
implements two S3 methods to obtain numerical values to facilitate
model comparison and selection.
the
coef
method returns a tibble with the values of the parameter estimates and their corresponding standard errors for each model.the
summary
returns a tibble with the AIC, number of degrees of freedom, mean error and root mean squared error for each model.
Visual analyses
The S3 plot method can generate three types of plots:
when
type = 1
, the plot compares the fitted growth curves against the experimental data used to fit the model.when
type = 2
, the plot compares the parameter estimates using error bars, where the limits of the error bars are the expected value +/ one standard error. In case one model does not have some model parameter (i.e. either because it is not defined or because it was fixed), the parameter is not included in the plot.when
type=3
, the plot shows the tendency of the residuals for each model. This plot can be used to detect deviations from independence.