Description Usage Arguments Details Value See Also Examples

Creates a model matrix. Two types can be
returned: a large one (class `"vlm"`

or one that inherits
from this such as `"vglm"`

) or a small one
(such as returned if it were of class `"lm"`

).

1 | ```
model.matrixqrrvglm(object, type = c("latvar", "lm", "vlm"), ...)
``` |

`object` |
an object of a class |

`type` |
Type of model (or design) matrix returned.
The first is the default.
The value |

`...` |
further arguments passed to or from other methods. |

This function creates one of several design matrices
from `object`

.
For example, this can be a small LM object or a big VLM object.

When `type = "vlm"`

this function calls `fnumat2R()`

to construct the big model matrix *given C*.
That is, the constrained coefficients are assumed known,
so that something like a large Poisson or logistic regression
is set up.
This is because all responses are fitted simultaneously here.
The columns are labelled in the following order and
with the following prefixes:
`"A"`

for the *A* matrix (linear in the latent variables),
`"D"`

for the *D* matrix (quadratic in the latent variables),
`"x1."`

for the *B_1* matrix (usually contains
the intercept; see the argument `noRRR`

in
`qrrvglm.control`

).

The design matrix *after scaling*
for a regression model with the specified formula and data.
By *after scaling*, it is meant that it matches the output
of `coef(qrrvglmObject)`

rather than the original
scaling of the fitted object.

`model.matrixvlm`

,
`cqo`

,
`vcovqrrvglm`

.

1 2 3 4 5 6 7 8 9 10 11 | ```
## Not run:
set.seed(1); n <- 40; p <- 3; S <- 4; myrank <- 1
mydata <- rcqo(n, p, S, Rank = myrank, es.opt = TRUE, eq.max = TRUE)
(myform <- attr(mydata, "formula"))
mycqo <- cqo(myform, poissonff, data = mydata,
I.tol = TRUE, Rank = myrank, Bestof = 5)
model.matrix(mycqo, type = "latvar")
model.matrix(mycqo, type = "lm")
model.matrix(mycqo, type = "vlm")
## End(Not run)
``` |

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