Man pages for genome/bmm
Variational Bayesian approach to fitting mixtures of beta, binomial, or Gaussian distributions

binomial.bmmbinomial.bmm: Fits a binomial mixture using a variational...
bmmbmm: Fits a Beta mixture using a variational Bayesian...
bmm.component.posterior.predictive.densitybmm.component.posterior.predictive.density: Calculate a...
bmm.fixed.num.componentsbmm.fixed.num.components: Fits a Beta mixture with fixed...
bmm.narrowest.mean.interval.about.centersbmm.narrowest.mean.interval.about.centers: Compute Bayesian...
bmm.narrowest.proportion.interval.about.centersbmm.narrowest.proportion.interval.about.centers: Compute...
bmm.plot.1dbmm.plot.1d: Overlay posterior predictive density on a...
bmm.plot.2dbmm.plot.2d: Plot data highlighted according to clustering
bmm.posterior.predictive.densitybmm.posterior.predictive.density: Calculate the posterior...
functionsbmm functions
generate.proportion.data.setgenerate.proportion.data.set: Generate a data set with...
init.bmm.hyperparametersinit.bmm.hyperparameters: Provides default initialization of...
init.bmm.parametersinit.bmm.parameters: Initialize bmm parameters
sample.bmm.component.meansample.bmm.component.mean: Sample (scalar) means from a bmm...
sample.bmm.component.proportionsample.bmm.component.proportion: Sample (scalar) proportions...
genome/bmm documentation built on May 14, 2017, 8:48 a.m.