Extract Design Matrix from Spatial Logistic Regression Model
This function extracts the design matrix of a spatial logistic regression model.
## S3 method for class 'slrm': model.matrix(object, ..., keepNA=TRUE)
- A fitted spatial logistic regression model. An object of class
- Other arguments (such as
na.action) passed to
- Logical. Determines whether rows containing NA values will be deleted or retained.
This command is a method for the generic function
model.matrix. It extracts the design matrix of a
spatial logistic regression.
object must be a fitted
spatial logistic regression
(object of class
Such objects are produced by the model-fitting
Usually the result is a matrix with one column for every constructed covariate in the model, and one row for every pixel in the grid used to fit the model.
object was fitted using split pixels (by calling
slrm using the argument
splitby) then the
matrix has one row for every pixel or half-pixel.
- A matrix. Columns of the matrix are canonical covariates in the model.
fit <- slrm(japanesepines ~x) head(model.matrix(fit)) # matrix with two columns: '(Intercept)' and 'x'