bmixlm-package: Binary Mixtures of Linear Models
In SWotherspoon/bmixlm: Binary Mixtures of Linear Models
Description
Fit a binary mixture of linear models by Gibbs sampling. Assumes
responses are drawn two subpopulations, each described by a
different linear model, and it is unknown which responses are drawn
from which subpopulation. The mixture model estimates the
coefficient of the two subpopulation models and the probability
that an observation is drawn from a particular subpopulation.
Author(s)
Simon Wotherspoon
SWotherspoon/bmixlm documentation built on May 9, 2019, 12:07 p.m.
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Description
Fit a binary mixture of linear models by Gibbs sampling. Assumes responses are drawn two subpopulations, each described by a different linear model, and it is unknown which responses are drawn from which subpopulation. The mixture model estimates the coefficient of the two subpopulation models and the probability that an observation is drawn from a particular subpopulation.
Author(s)
Simon Wotherspoon
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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