Description Usage Arguments Details Value Author(s) See Also Examples

Returns a 3D model matrix for capture-recapture modeling in the form of a (giant) 2D matrix.

1 | ```
F.3d.model.matrix(formula, d1, d2)
``` |

`formula` |
A formula object specifying covariates in a capture-recapture
model. Must not have a response, i.e., ~, followed by the names
of 2-D arrays or 1-D vectors contained inside calls to |

`d1` |
Magnitude of dimension 1 of the returned matrix. This is
always number of rows in the returned matrix. Usually, |

`d2` |
Magnitude of dimension 2 of the returned matrix. This is number of columns in the capture history matrix. |

This routine is intended to be called internally by the routines of MRA. General users should never have to call this routine.

This routine uses a call to `eval`

with a model frame, and calls the
R internal `model.matrix`

to
resolve the matrices in the formula. All matrices specified in the models
should be in the current scope and accessible to both `eval`

and `model.matrix`

.

See `help(F.cjs.estim)`

for examples of ways to specify models.

A (giant) 2-d matrix containing covariate values suitable for passing to
the Fortran code that does the estimation for MRA. This matrix has all the
2-d matrices of the model `cbind`

-ed together. It's dimension is NAN x
NS*(number of coefficients). A convenient way to view the matrix is to assign
a 3-d dimension. I.e., if `x`

is the result of a call to this function
and there are NX coefficients in the model,
then ` dim(x) <- c(NAN,NS,NX) `

makes a 3-d matrix with NAN rows, NS columns,
and NX pages. View the covariates for a single animal with `x[3,,]`

or similar
statement.

Names of variables in the model are returned as attribute "variables". Whether the model has an intercept is returned as attribute "intercept".

Trent McDonald, WEST-INC, [email protected]

`F.cr.model.matrix`

, `tvar`

, `ivar`

,
`model.matrix`

, `eval`

1 2 3 4 5 6 7 |

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