model.matrix.lppm | R Documentation |

Given a point process model that has been fitted to spatial point pattern data on a linear network, this function extracts the design matrix of the model.

## S3 method for class 'lppm' model.matrix(object, data=model.frame(object, na.action=NULL), ..., keepNA=TRUE)

`object` |
The fitted point process model. An object of class |

`data` |
A model frame, containing the data required for the Berman-Turner device. |

`keepNA` |
Logical. Determines whether rows containing NA values will be deleted or retained. |

`...` |
Other arguments (such as |

This is a method for the generic function
`model.matrix`

.
It extracts the design matrix of a spatial point process model
on a linear network (object of class `"lppm"`

).

More precisely, this command extracts the design matrix of the generalised linear model associated with a spatial point process model.

The `object`

must be a fitted point process model
on a network (object of class `"lppm"`

)
produced by the model-fitting function `lppm`

.
The method `model.matrix.lppm`

extracts the model matrix for the GLM.

The result is a matrix, with one row for every quadrature point in the fitting procedure, and one column for every canonical covariate in the design matrix.

If there are `NA`

values in the covariates,
the argument `keepNA`

determines whether to retain or delete
the corresponding rows of the model matrix. The default
`keepNA=TRUE`

is to retain them. Note that this differs from
the default behaviour of many other methods for `model.matrix`

,
which typically delete rows containing `NA`

.

A matrix. Columns of the matrix are canonical covariates in the model.
Rows of the matrix correspond to quadrature points
in the fitting procedure (provided `keepNA=TRUE`

).

.

`model.matrix`

,
`model.images.lppm`

,
`lppm`

fit <- lppm(spiders ~ x + y) head(model.matrix(fit))

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