CMPProc: COM Poisson Process Parameter Estimation.

In cmpprocess: Flexible Modeling of Count Processes

Description

cmpproc computes the maximum likelihood estimates of a COM-Poisson process for given count data.

Usage

cmpproc(counts, s = 1, h.out = FALSE)

Arguments

counts	A vector (-like object) of counts.
s	The time interval corresponding to the levels of the counts vector.
h.out	A boolean indicating if the information matrix and associated standard errors are returned. This can have a significant impact on processing time and should be left at the default unless needed

Value

cmpproc will return a list of seven elements: [1] se (Standard errors), [2] H (Information matrix), [3] lambda, [4] nu, [5] Z, [6] ll (Log likelihood), and [7] aic.

Examples

## Standard usage
data(floodcount)
cmpproc(floodcount$Counts)

cmpprocess documentation built on Jan. 14, 2020, 1:07 a.m.