# Bayesian Hidden Markov Model for the detection of differentially methylated regions

## Documentation for package ‘hummingbird’ version 1.4.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

hummingbird-package | A Bayesian Hidden Markov Model for the detection of differentially methylated regions
abnormM | Sample matrix
abnormUM | Sample matrix
exampleHummingbird | Sample dataset
exampleSECase | Sample input data
exampleSEControl | Sample input data
hummingbird | A Bayesian Hidden Markov Model for the detection of differentially methylated regions
hummingbirdEM | EM Algorithm for Fitting the Hidden Markov Model
hummingbirdEMinternal | EM Algorithm (internal)
hummingbirdGraph | Observations and Predictions Graphs
hummingbirdPostAdjustment | Post Adjustment algorithm for the output of the EM
hummingbirdPostAdjustmentInternal | Post Adjustment algorithm (internal)
normM | Sample matrix
normUM | Sample matrix
pos | Sample matrix