MultivariateDensity: Create a representation of a probability mass or density...

In luisdamiano/BayesHMM: Full Bayesian Inference for Hidden Markov Models

Description

It can be used to specify either a prior distribution for a model parameter or a likelihood function for an observation model.

Usage

MultivariateDensity(name, ...)

Arguments

name	A character string with the name of the density.
...	Other arguments for the density.

Value

A Density object.

References

Betancourt, Michael (2017) Identifying Bayesian Mixture Models Stan Case Studies Volume 4. Link.

See Also

Other Density: Bernoulli, Beta, Binomial, Categorical, Cauchy, CholeskyLKJCor, Dirichlet, Exponential, GammaDensity, Gaussian, ImproperUniform, InitialFixed, InitialSoftmax, InverseWishart, MVGaussianCholeskyCor, MVGaussian, MVStudent, Multinomial, NegativeBinomialLocation, NegativeBinomial, Poisson, RegBernoulliLogit, RegBinomialLogit, RegBinomialProbit, RegCategoricalSoftmax, RegGaussian, Student, TransitionFixed, TransitionSoftmax, Wishart

luisdamiano/BayesHMM documentation built on May 20, 2019, 2:59 p.m.