MxExpectationGREML-class {OpenMx} | R Documentation |

`MxExpectationGREML`

is a type of expectation class. It contains the necessary elements for specifying a GREML model. For more information, see `mxExpectationGREML()`

.

Objects can be created by calls of the form
```
mxExpectationGREML(V, yvars, Xvars, addOnes, blockByPheno,
staggerZeroes, dataset.is.yX, casesToDropFromV)
```

.

`V`

:Object of class

`"MxCharOrNumber"`

. Identifies the`MxAlgebra`

or`MxMatrix`

to serve as the 'V' matrix.`yvars`

:Character vector. Each string names a column of the raw dataset, to be used as a phenotypes.

`Xvars`

:A list of data column names, specifying the covariates to be used with each phenotype.

`addOnes`

:Logical; pertains to data-handling at runtime.

`blockByPheno`

:Logical; pertains to data-handling at runtime.

`staggerZeroes`

:Logical; pertains to data-handling at runtime.

`dataset.is.yX`

:Logical; pertains to data-handling at runtime.

`y`

:Object of class

`"MxData"`

. Its`observed`

slot will contain the phenotype vector, 'y.'`X`

:A matrix, to contain the 'X' matrix of covariates.

`yXcolnames`

:Character vector; used to store the column names of 'y' and 'X.'

`casesToDrop`

:Integer vector, specifying the rows and columns of the 'V' matrix to be removed at runtime.

`b`

:A matrix, to contain the vector of regression coefficients calculated at runtime.

`bcov`

:A matrix, to contain the sampling covariance matrix of the regression coefficients calculated at runtime.

`numFixEff`

:Integer number of covariates in 'X.'

`dims`

:Object of class

`"character"`

.`numStats`

:Numeric; number of observed statistics.

`dataColumns`

:Object of class

`"numeric"`

.`name`

:Object of class

`"character"`

.`data`

:Object of class

`"MxCharOrNumber"`

.`.runDims`

:Object of class

`"character"`

.

Class `"MxBaseExpectation"`

, directly.
Class `"MxBaseNamed"`

, by class "MxBaseExpectation", distance 2.
Class `"MxExpectation"`

, by class "MxBaseExpectation", distance 2.

No methods defined with class "MxExpectationGREML" in the signature.

The OpenMx User's guide can be found at https://openmx.ssri.psu.edu/documentation.

See `mxExpectationGREML()`

for creating MxExpectationGREML objects, and for more information generally concerning GREML analyses, including a complete example. More information about the OpenMx package may be found here.

```
showClass("MxExpectationGREML")
```

[Package *OpenMx* version 2.21.11 Index]