# Kernel estimation of hazard or density function

I am working with R package "muhaz" to get the kernel estimate of the hazard function. If we have the following example which is the sample of uncensored data:

    x =c(0.001409591, 0.008451294, 0.019719245, 0.046626865 ,0.244813744,
0.410032119, 0.489286425, 0.697342699, 0.731541987, 0.954493031)
fit = muhaz(x, rep(1, length(x)), bw.method="local", b.cor="both", n.min.grid=51,
n.est.grid=101, kern="epanechnikov")


I have two questions: 1) How can I write the estimated hazard function as a formula in terms of the result of fit? How can we get the estimated hazard function for any desire value not just for grid points (fit$est.grid points)? 2) Is it possible to get the estimated density function? because as far as I know the result does not provide it. How can we get the estimated density function for any desire value? not just for grid points (fit$est.grid points).

• This question appears to be off-topic because it is essentially a request for advice on how to use an R package. See the help center for advice on software-related questions. – Nick Cox Feb 5 '14 at 11:42