Description Usage Arguments Value Method for 'merMod' objects

Computes the Cholesky factor, *L*, of the inverse of the
Fisher Information matrix for all regression coefficients in
a fitted model. The coefficient covariance matrix can then be
computed as *L * L'*.

1 2 3 4 |

`object` |
a fitted model object |

`...` |
additional arguments |

A square numeric matrix represented as a
`Matrix::sparseMatrix`

object

For a mixed-effects model of the form, for example,

*g(E(Y_i | b_i)) = X * β + Z_i * b_i*

with link function *g()*, and
*b_i ~ N(0, Σ_b)*, the Cholesky
factor returned will be such that
*L * L' = I^-1(θ)*, where
*θ = (β', b_1', b2', ...)'*.

asw221/dlm documentation built on May 8, 2019, 5:59 p.m.

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