ebayes {MAST} | R Documentation

## Estimate hyperparameters for hierarchical variance model for continuous component

### Description

`ebayesControl` is a named list with (optional) components 'method' (one of 'MOM' or 'MLE') and 'model' (one of 'H0' or 'H1') method MOM uses a method-of-moments estimator, while MLE using the marginal likelihood. H0 model estimates the precisions using the intercept alone in each gene, while H1 fits the full model specified by `mm`

### Usage

    ebayes(assay_t, ebayesControl, mm, truncate = Inf)

### Arguments

`assay_t` | cells X genes matrix
`ebayesControl` | list with (optional) components 'method', 'model'. See details.
`mm` | a model matrix, used when `model='H1'`.
`truncate` | Genes with sample precisions exceeding this value are discarded when estimating the hyper parameters

### Value

`numeric` of length two, giving the hyperparameters in terms of a variance (`v`) and prior observations (`df`), inside a `structure`, with component `hess`, giving the Fisher Information of the hyperparameters.

[Package MAST version 1.18.0 Index]