envelope.ppmlasso: Calculates simulation envelopes for goodness-of-fit

In ppmlasso: Point Process Models with LASSO-Type Penalties

Calculates simulation envelopes for goodness-of-fit

Description

This function is analogous to the envelope function of the spatstat package.

Usage

## S3 method for class 'ppmlasso'
envelope(Y, fun = Kest, ...)

Arguments

Y	A fitted regularisation path of point process models. The simulation envelopes will be calculated for the model that optimises the given criterion.
fun	The summary function to be computed for the given point process model. See the help file for the envelope function of the spatstat package for more details.
...	Other arguments for producing diagnostic plots, as given by the envelope function of the spatstat package.

Details

See the help file for envelope in the spatstat package for further details of simulation envelopes.

Author(s)

Ian W. Renner

References

Baddeley, A.J. & Turner, R. (2005). Spatstat: an R package for analyzing spatial point patterns. Journal of Statistical Software 12, 1-42.

See Also

diagnose.ppmlasso, for residual plots inherited from spatstat.

Examples

data(BlueMountains)
sub.env = BlueMountains$env[BlueMountains$env$Y > 6270 & BlueMountains$env$X > 300,]
sub.euc = BlueMountains$eucalypt[BlueMountains$eucalypt$Y > 6270 & BlueMountains$eucalypt$X > 300,]
ppm.form = ~poly(FC, TMP_MIN, TMP_MAX, RAIN_ANN, degree = 2) + poly(D_MAIN_RDS, D_URBAN, degree = 2)
ppm.fit  = ppmlasso(ppm.form, sp.xy = sub.euc, env.grid = sub.env, sp.scale = 1, n.fits = 20,
writefile = FALSE)
envelope(ppm.fit, Kinhom, nsim = 20)

ppmlasso documentation built on May 29, 2024, 7:12 a.m.