Description Usage Arguments Value Author(s) References See Also Examples
Density function based on an object resulting from the estimation procedure in degross.
1 | ddegross(x, degross.fit, phi)
|
x |
Scalar or vector where the fitted density must be evaluated. |
degross.fit |
A degross.object generated using degross and containing the density estimation results. |
phi |
(Optional) vector of spline parameters for the log density (default: |
A scalar or vector of the same length as x
containing the value of the fitted density at x
.
Philippe Lambert p.lambert@uliege.be
Lambert, P. (2021) Moment-based density and risk estimation from grouped summary statistics. arXiv:2107.03883.
degross.object
, pdegross
, qdegross
, degross
.
1 2 3 4 5 6 7 8 9 10 11 12 13 | ## Generate grouped data
sim = simDegrossData(n=1500, plotting=TRUE, choice=2)
## Create a degrossData object
obj.data = degrossData(Big.bins=sim$Big.bins, freq.j=sim$freq.j, m.j=sim$m.j)
print(obj.data)
## Estimate the density
obj.fit = degross(obj.data)
## Superpose the fitted density using the <ddegross> function
curve(ddegross(x,obj.fit),add=TRUE,lty="dashed")
legend("topright",lty="dashed",lwd=2,legend="Estimated",box.lty=0, inset=.04)
|
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