methods.slrm
From spatstat v1.61-0
by Adrian Baddeley
Methods for Spatial Logistic Regression Models
These are methods for the class "slrm"
.
Usage
# S3 method for slrm
formula(x, …)
# S3 method for slrm
print(x, ...)
# S3 method for slrm
terms(x, …)
# S3 method for slrm
labels(object, …)
# S3 method for slrm
update(object, ..., evaluate = TRUE, env = parent.frame())
Arguments
- x,object
An object of class
"slrm"
, representing a fitted spatial logistic regression model.- …
Arguments passed to other methods.
- evaluate
Logical value. If
TRUE
, evaluate the updated call toslrm
, so that the model is refitted; ifFALSE
, simply return the updated call.- env
Optional environment in which the model should be updated.
Details
These functions are methods for the generic commands
formula
,
update
,
print
,
terms
and
labels
for the class "slrm"
.
An object of class "slrm"
represents a fitted
spatial logistic regression model. It is obtained from slrm
.
Value
See the help files for the corresponding generic functions.
See Also
slrm
, plot.slrm
,
predict.slrm
, simulate.slrm
,
vcov.slrm
,
coef.slrm
.
Examples
# NOT RUN {
data(redwood)
fit <- slrm(redwood ~ x)
coef(fit)
formula(fit)
tf <- terms(fit)
labels(fit)
# }
Community examples
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