spatstat.core (version 2.3-1)

ranef.mppm: Extract Random Effects from Point Process Model

Description

Given a point process model fitted to a list of point patterns, extract the fixed effects of the model. A method for ranef.

Usage

# S3 method for mppm
ranef(object, …)

Arguments

object

A fitted point process model (an object of class "mppm").

…

Ignored.

Value

A data frame, or list of data frames, as described in the help for ranef.lme.

Details

This is a method for the generic function ranef.

The argument object must be a fitted point process model (object of class "mppm") produced by the fitting algorithm mppm). This represents a point process model that has been fitted to a list of several point pattern datasets. See mppm for information.

This function extracts the coefficients of the random effects of the model.

References

Baddeley, A., Rubak, E. and Turner, R. (2015) Spatial Point Patterns: Methodology and Applications with R. London: Chapman and Hall/CRC Press.

See Also

fixef.mppm, coef.mppm

Examples

# NOT RUN {
 H <- hyperframe(Y = waterstriders)
 # Tweak data to exaggerate differences
 H$Y[[1]] <- rthin(H$Y[[1]], 0.3)

 m1 <- mppm(Y ~ id,  data=H, Strauss(7))
 ranef(m1)
 m2 <- mppm(Y ~ 1,  random=~1|id, data=H, Strauss(7))
 ranef(m2)
# }