jointPosterior {scDD} | R Documentation

## jointPosterior

### Description

Function to obtain the normalized joint posterior of the data and partition.

### Usage

    jointPosterior(y, mcobj, alpha, m0, s0, a0, b0)

### Arguments

`y` | Numeric data vector for one gene (log-transformed non-zeroes)
`mcobj` | Object returned by `mclustRestricted`
`alpha` | Value for the Dirichlet concentration parameter
`m0` | Prior mean value for generating distribution of cluster means
`s0` | Prior precision value for generating distribution of cluster means
`a0` | Prior shape parameter value for the generating distribution of cluster precision
`b0` | Prior scale parameter value for the generating distribution of cluster precision

### Details

Calculates the normalized joint posterior of the data and partition under the Product Partition Model formulation of the Dirichlet Process Mixture model.

### Value

log joint posterior value

### References

Korthauer KD, Chu LF, Newton MA, Li Y, Thomson J, Stewart R, Kendziorski C. A statistical approach for identifying differential distributions in single-cell RNA-seq experiments. Genome Biology. 2016 Oct 25;17(1):222. https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-1077-y

[Package scDD version 1.10.0 Index]