plotTerm | R Documentation |
Plots the estimated linear predictor for a model term, i.e a main effect or a
(2- or 3-way) interaction. Plots for the joint effect of two numerical
covariates show an overlay if quantiles were specified: Regions where the
pointwise credible intervals do not contain zero are plotted in muted red
(>0) and blue (< 0), overlaid by coloured contour lines that show
the aggregate
values. Contour lines are shown only inside the convex
hull of the original observations. Plots for
srf
:lin
terms show the spatially varying
coefficient, i.e. the contour lines represent the change in the linear
predictor when the lin
-covariate increases by 1 standard deviation.
For this reason, a cumulative plot makes no sense and the routine will set
cumulative = FALSE
with a warning.
plotTerm( label, m, cumulative = TRUE, aggregate = mean, quantiles = c(0.1, 0.9), gridlength = 40, contours = 30, ggElems = list() )
label |
(character) the label of the effect to be plotted. |
m |
a fitted |
cumulative |
Defaults to TRUE, in which case the lower order terms that
are associated with the covariates involved in |
aggregate |
(function) which summary statistic to use for the posterior of the effect. Defaults to the mean. |
quantiles |
which quantiles to use for the borders of credible regions. Defaults to 10 regions. Cannot deal with more than two quantiles. |
gridlength |
length of the (univariate) grids on which to evaluate the posterior. |
contours |
use how many contour lines for the joint effect of two numerical covariates. Defaults to 30. |
ggElems |
a list of plot elements to give to
|
Limitations: Plots for 4-way (or higher) interactions are not implemented.
Requesting such a plot will return the NULL object with a warning. Plots for
mrf
just treat the grouping variable as a conventional factor
i.e. will not incorporate any neighborhood or map information.
an object of class ggplot
. Use print
or wrap the call
to plotTerm
in parentheses to directly render on a graphic device.
Fabian Scheipl
#see help for spikeSlabGAM
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