density_Rmask: Density function
In MaskJointDensity: Masking, Unmasking and Restoring Confidential Data

Description Usage Arguments Details Value Note Author(s) References Examples

estimate density function based on masked data

1	density_Rmask(moments, a, b, n = 512)

`moments`	moments information
`a`	lower boundary
`b`	upper boundary
`n`	scale on x-axis

no details needed

a vector

no further notes

Yan-Xia

no reference

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--  or do  help(data=index)  for the standard data sets.

y<-rnorm(100, 0,1)
val <- 1
for(k in 1:8){
   val<- c(val, mean(y^k))
   }
a<- -2
b<- 2
Provost<- density_Rmask(val, a,b)