jarad/tlpl: Tau-leaped particle learning
Version 0.1.1

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 <[email protected]>
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("devtools")
library(devtools)
install_github("jarad/tlpl")
jarad/tlpl documentation built on May 17, 2017, 10:43 a.m.