Covariate inclusion indices show the correlation in inclusion of a covariate in the final model in a bootgam or bootscm.
Usage
xp.incl.index.cov(
bootgam.obj = NULL,
boot.type = NULL,
main = NULL,
xlb = "Index",
ylb = "Covariate",
add.ci = FALSE,
incl.range = NULL,
return_plot = TRUE,
results.tab = NULL,
...
)
Arguments
- bootgam.obj
The bootgam or bootscm object.
- boot.type
Either "bootgam" or "bootscm". Default is NULL, which means the user will be asked to make a choice.
- main
Plot title.
- xlb
Label for the x-axis.
- ylb
Label for the y-axis.
- add.ci
Add a confidence interval to the plotted data.
- incl.range
Included range
- return_plot
Should the function return a plot?
- results.tab
Specify your own results table.
- ...
Additional plotting information.
See also
Other bootgam:
xp.daic.npar.plot()
,
xp.dofv.npar.plot()
,
xp.inc.cond.stab.cov()
,
xp.inc.ind.cond.stab.cov()
,
xp.inc.stab.cov()
,
xp.incl.index.cov.ind()
Other bootscm:
bootscm.import()
,
xp.daic.npar.plot()
,
xp.dofv.npar.plot()
,
xp.inc.cond.stab.cov()
,
xp.inc.ind.cond.stab.cov()
,
xp.inc.stab.cov()
,
xp.incl.index.cov.ind()