Package BIP
source code
Bayesian Inference Package containing usefull classes and functions
for doing inference in various applications.
This is not a "Bayesian Statistics" package, i.e., it was
not conceived to provide data analysis methods such as the one you can
find on a statistical package such as R (for example).
Here, you will find some the basic building blocks those sophisticated
Bayesian regression methods are built from, such as likelihood functions,
MCMC samplers, SMC samplers, etc..
This package exists because such basic tools are not readily
accessible in Task-oriented statistical software. From these tools, as
this package matures, you will be able to easily build a solution for
your own inferential inquiries, a solution which may not be available on
standard statistical packages.
- BIP.Bayes: Basic Likelihood tools such as functions for computing likelihoods,
Latin Hypercube sampling (efficient random sampling) and other
tools which don't belong on other packages, or apply to multiple
packages.
- BIP.SDE: Package with tools for the simulation of Stochastic differential
equations.
- BIP.SMC: Package with Sequential Monte Carlo routines.
- BIP.Viz
|