jarad/tlpl: Tau-leaped particle learning

Tau-leaped particle learning is a sequential Monte Carlo (SMC) approach to Bayesian inference in a Poisson-binomial state-space model, ie. Poisson transitions and binomial observations on those transitions. Tau-leaping provides a discrete approximation to a continuous-time process and particle utilizes analytical tractabilities of the model to provide an efficient algorithm.

Getting started

Package details

AuthorJarad Niemi
MaintainerJarad Niemi <niemi@iastate.edu>
LicenseGPL-3
Version0.1.1
URL https://github.com/jarad/tlpl
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("jarad/tlpl")
jarad/tlpl documentation built on May 18, 2019, 3:46 p.m.