compak_evalpmf: Fits CMP_mu discrete kernel smoother for a sample of counts
In thomas-fung/compak: Conway-Maxwell-Poisson Associated Kernel

Description Usage Arguments Value Examples

This function computes the density using the CMP_mu discrete kernel smooth over a grid of points using the given bandwidth h or dispersion parameter nu.

1	compak_evalpmf(a.sample, x = NULL, h = NULL, nu = NULL, workers = 1L)

`a.sample`	numeric vector: the data sample from which estimate is to be computed.
`x`	Either `NULL` or a numeric vector: the points of the grid at which the density is to be estimated. If none is provided, the range of `a.sample` will be used.
`h, nu`	numeric: the bandwidth or smoothing parameter. Only one is needed and they are related by nu = 1/h.
`workers`	numeric; a positive integer to represent the number of cores used for parallel processing to evaluate the kde

A list containing the following components:

`f.cmp`	the estimated p.m.f. values
`kernel.est`	a list that contains the estimated kernel at each grid point

data(days)
# The bandwidth h can be the one obtained by cross validation.
(h.CV <- compak_CVbandwidth(days))
compak_evalpmf(days, 20:40, h = h.CV, workers = 1)