Description Usage Arguments Value Author(s) See Also Examples
Compute predicted values and simultaneous or pointwise confidence
bounds for cobs
objects.
1 2 3 4 5 |
object |
object of class |
z |
vector of grid points at which the fitted values are
evaluated; default to an equally spaced grid with |
minz |
numeric needed if |
maxz |
analogous to |
nz |
number of grid points in |
interval |
type of interval calculation, see below |
level |
confidence level |
... |
further arguments passed to and from methods. |
predict.cobs
produces aa matrix of
predictions and bounds if interval
is set (not "none").
The columns are named z
, fit
, further cb.lo
and
cb.up
for the simultaneous
confidence band, and ci.lo
and
ci.up
the pointwise confidence
intervals according to
specified level
.
Martin Maechler, based on He and Ng's code in cobs()
.
cobs
the model fitting function.
1 2 3 4 5 6 7 8 9 10 | example(cobs) # continuing :
(pRbs <- predict(Rbs))
str(pSbs <- predict(Sbs, xx, interval = "both"))
plot(x,y, xlim = range(xx), ylim = range(y, pSbs[,2], finite = TRUE),
main = "COBS Median smoothing spline, automatical lambda")
lines(pSbs, col = "red")
lines(spline(x,f.true), col = "gray40")
matlines(pSbs[,1], pSbs[,-(1:2)],
col= rep(c("green","blue"),c(2,2)), lty=2)
|
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