FGLS {MixABEL} | R Documentation |

## Feasible GLS...

### Description

Feasible GLS

### Usage

FGLS(Y, X, W, test="wald", whichtest=c(FALSE, rep(TRUE, dim(X)[2] - 1)))

### Arguments

`Y` |
dependent variable |

`X` |
design matrix (including intercept, if necessary) |

`test` |
test to be applied, one of 'wald', 'score' or 'robust' |

`whichtest` |
which independent variables to be tested (set to 'TRUE') |

`W` |
for GLS, inverse variance-covariance matrix, as such returned by
GenABEL's polygenic(...)$InvSigma, or NULL for LS |

### Details

Feasible Generalised Least Squares

### Value

List with elements 'beta' – estimates fo the regression
coefficients; 'V' – variance covariance matrix for parameters
estimates; 'T2' – test statistics (distributed as Chi-squared under
the null) for the testing of whichtest parameters; 'df' – the number of
degrees of freedom of the T2 test; 'tested' – which parameters were
tested with T2; 'meanColX' – mean value of variable in columns of X;
'n' – length of Y (== height of X)

### Author(s)

Yurii Aulchenko

[Package

*MixABEL* version 0.0-9

Index]