Man pages for genome/bmm
Variational Bayesian approach to fitting mixtures of beta, binomial, or Gaussian distributions
| binomial.bmm | binomial.bmm: Fits a binomial mixture using a variational... |
| bmm | bmm: Fits a Beta mixture using a variational Bayesian... |
| bmm.component.posterior.predictive.density | bmm.component.posterior.predictive.density: Calculate a... |
| bmm.fixed.num.components | bmm.fixed.num.components: Fits a Beta mixture with fixed... |
| bmm.narrowest.mean.interval.about.centers | bmm.narrowest.mean.interval.about.centers: Compute Bayesian... |
| bmm.narrowest.proportion.interval.about.centers | bmm.narrowest.proportion.interval.about.centers: Compute... |
| bmm.plot.1d | bmm.plot.1d: Overlay posterior predictive density on a... |
| bmm.plot.2d | bmm.plot.2d: Plot data highlighted according to clustering |
| bmm.posterior.predictive.density | bmm.posterior.predictive.density: Calculate the posterior... |
| functions | bmm functions |
| generate.proportion.data.set | generate.proportion.data.set: Generate a data set with... |
| init.bmm.hyperparameters | init.bmm.hyperparameters: Provides default initialization of... |
| init.bmm.parameters | init.bmm.parameters: Initialize bmm parameters |
| sample.bmm.component.mean | sample.bmm.component.mean: Sample (scalar) means from a bmm... |
| sample.bmm.component.proportion | sample.bmm.component.proportion: Sample (scalar) proportions... |
