| interpSplineCon {cobs} | R Documentation | 
(Cubic) Interpolation Spline from "conreg"
Description
From a "conreg" object representing a linear
spline,
- interpSplineCon()
- produces the corresponding (cubic) spline (via package splines' - interpSpline()) by interpolating at the knots, thus “smoothing the kinks”.
- isIsplineCon()
- determines if the spline fulfills the same convexity / concavity constraints as the underlying - "conreg"object.
Usage
interpSplineCon(object, ...)
isIsplineCon(object, isp, ...)
Arguments
| object | an R object as resulting from  | 
| isp | optionally, the result of  | 
| ... | optional further arguments passed to
 | 
Value
- interpSplineCon()
- returns the - interpSpline()interpolation spline object.
- isIsplineCon()
- is - TRUE(or- FALSE), indicating if the convexity/concavity constraints are fulfilled (in knot intervals).
Author(s)
Martin Maechler
See Also
Examples
cc <- conreg(cars[,"speed"], cars[,"dist"], convex=TRUE)
iS <- interpSplineCon(cc)
(isC <- isIsplineCon(cc)) # FALSE: not strictly convex
## Passing the interpolation spline --- if you have it anyway ---
## is more efficient (faster) :
stopifnot(identical(isC,
                    isIsplineCon(cc, isp = iS)))
## the interpolation spline is not quite convex:
plot(cc)
with(cars, points(dist ~ speed, col = adjustcolor(1, 1/2)))
lines(predict(iS, seq(1,28, by=1/4)),
      col = adjustcolor("forest green", 3/4), lwd=2)
[Package cobs version 1.3-8 Index]