rtgodwin/inflmix: Estimates the One-Inflated Positive Poisson Mixture Model (OIPPMM)

Estimates the parameters of the one-inflated positive Poisson model (OIPPMM) using an EM algorithm. If no starting values are provided, it begins with a grid search over two mixture components, and then runs an EM algorithm. The process is repeated with an additional mixture component until the non-parametric MLE is found (i.e. until the addition of a component yields no improvement in the likelihood function). It also generates OIPPMM variates, and calculates Horvitz-Thompson population size estimates.

Getting started

Package details

AuthorRyan T. Godwin
MaintainerRyan T. Godwin <ryan.godwin@umanitoba.ca>
LicenseMIT + file LICENSE
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("rtgodwin/inflmix")
rtgodwin/inflmix documentation built on May 27, 2019, 2:10 p.m.