| 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 |