Description Usage Arguments Details Value See Also
Objects of this class is the output of the "covariates_importance" object
from the bayesPO_fitclass
. It can be plotted which uses
the graphics
package. The print
method
gives a pointwise estimation, the same seen in the bacplot
method.
Both plot
and boxplot
methods use the posterior distribution
of the importance.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17  ## S3 method for class 'covariates_importance'
print(x, component = "intensity", ...)
## S3 method for class 'covariates_importance'
plot(
x,
component = "intensity",
y = "importance",
quantiles = c(0.025, 0.5, 0.975),
...
)
## S3 method for class 'covariates_importance'
barplot(height, component = "intensity", y, ...)
## S3 method for class 'covariates_importance'
boxplot(x, component = "intensity", ...)

x 
The 
component 
Either 
... 
Other parameters passed to 
y 
Either 
quantiles 
A 2 or 3simensional vector with the desired quantiles
specified. If 3dimensiona, the middle point is drawn as a dot when the

height 
The 
Objects of this class have two matrices where the Monte Carlo samples on the rows and parameters on the columns. One matrix is for the intensity importance and the other for the observability importance.
The invisible object.
Nothing is returned. Plot is called and drawn on the configured device.
A barplot. See barplot
for details. If component is selected
as "both"
, only the second barplot is returned.
A boxplot. See boxplot
for details. If component is selected
as "both"
, only the second boxplot is returned.
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