posterior: Posterior Estimates
In rebeccadeek/zinLDA: Zero-Inflated Latent Dirichlet Allocation
Description
Usage
Arguments
Value
Description
Calculate the posterior estimates of delta, beta, and theta for a fitted zinLDA model.
Usage
1
posterior(obj, burnin = 100)
Arguments
obj
object of class "zinLDA_gibbs".
burnin
number of burn-in runs of the MCMC.
Value
A list with the following elements:
delta
posterior indicator of structural zeros.
beta
posterior probabilities of each taxon belonging to each subcommunity.
theta
posterior probabilities of each subcommunity in each sample.
rebeccadeek/zinLDA documentation built on Dec. 31, 2020, 3:02 a.m.
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Description Usage Arguments Value
Description
Calculate the posterior estimates of delta, beta, and theta for a fitted zinLDA model.
Usage
1 | posterior(obj, burnin = 100)
|
Arguments
obj |
object of class |
burnin |
number of burn-in runs of the MCMC. |
Value
A list with the following elements:
delta |
posterior indicator of structural zeros. |
beta |
posterior probabilities of each taxon belonging to each subcommunity. |
theta |
posterior probabilities of each subcommunity in each sample. |
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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