Given a fitted Spatial Logistic Regression model, this function computes the fitted probabilities for each pixel, or the fitted probabilities at each original data point.
# S3 method for slrm
fitted(object, ..., type="probabilities",
dataonly=FALSE, leaveoneout=FALSE)A pixel image (object of class "im") containing the
fitted probability for each pixel,
or a numeric vector containing the fitted probability at each data point.
a fitted spatial logistic regression model.
An object of class "slrm".
Ignored.
Character string (partially) matching one of
"probabilities", "intensity" or "link"
determining the quantity that should be predicted.
Logical. If TRUE, then values will only be computed
at the points of the data point pattern. If FALSE, then
values will be computed at the pixels used to fit the model.
Logical value
specifying whether to perform a leave-one-out calculation
when dataonly=TRUE. If leaveoneout=TRUE,
the fitted value at each data point X[i] is calculated
by re-fitting the model to the data with X[i] removed.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au and Rolf Turner rolfturner@posteo.net.
This is a method for the generic function
fitted
for spatial logistic regression models
(objects of class "slrm", usually obtained
from the function slrm).
By default, the algorithm computes the fitted probabilities of the presence of a random point in each pixel, and returns them as an image.
If dataonly=TRUE, the algorithm computes the fitted
presence probabilities only at the locations of the original data points.
slrm,
fitted
X <- rpoispp(42)
fit <- slrm(X ~ x+y)
plot(fitted(fit))
fitted(fit, dataonly=TRUE)
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