Description Usage Arguments Value Note See Also Examples

Calculates the likeihood ratio type test statistic (under Normality assumption) for a constrained linear mixed effects model. This is the default test statistic for CLME.

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`theta` |
estimated coefficients. |

`theta.null` |
coefficients estimated under the null hypothesis. |

`cov.theta` |
covariance matrix of the (unconstrained) coefficients. |

`...` |
additional arguments, to enable custom test statistic functions. |

Output is a numeric value.

This is an internal function, unlikely to be useful outside of CLME-package. To define custom functions, the arguments available are:

`theta`

, `theta.null`

, `cov.theta`

, `B`

, `A`

, `Y`

, `X1`

, `X2`

, `U`

, `tsq`

, `ssq`

, `Nks`

, and `Qs`

.

Of the additional arguments, `B`

and `A`

are identical to those produced by `create.constraints`

. The rest, `Y`

, `X1`

, `X2`

, `U`

, `tsq`

, , `ssq`

, `Nks`

, and `Qs`

, are equivalent to arguments to `clme_em`

.

Custom functions must produce numeric output. Output may have length greater than 1, which corresponds to testing multiple global hypotheses.

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jelsema/CLME documentation built on May 25, 2018, 4:43 a.m.

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