R: Calculate marker effects

meff.asreml {asreml} | R Documentation

## Calculate marker effects

### Description

Function that estimates genetic regressor (marker) effects for a fitted `asreml` model object using a provided matrix of marker scores and an `asreml` fit with the specified relationship matrix.

### Usage

    ## S3 method for class 'asreml'
    meff(object, effects = ~NULL, mef = list(), se = FALSE, evaluate = TRUE, ...)

### Arguments

`object` | An `asreml` object.
`effects` | A one-sided formula giving the terms in the model (separated by `"+"`) for which marker effects are to be calculated. If `~NULL`, the term associated with the first variance matrix in the `mef` list will be used (default = `~NULL`).
`mef` | A list associating a known relationship matrix (`rm`) used in the model with a matrix of regressor scores, with components in the form: `rm = "regressor-scores"`.
`se` | If `TRUE`, calculates the standard errors of the effects (default = `FALSE`).
`evaluate` | If `TRUE`, evaluates the effects by a call to `update.asreml`; otherwise, it returns the unevaluated call (default = `TRUE`).
`...` | Additional arguments to `asreml`.

### Value

An `asreml` object with a component `mef`, a list with `length(mef)` components containing the matrices of regressor effects and (optional) standard errors.

[Package asreml version 4.2.0.480 Index]