diagnose.ppmlasso: Create diagnostic plots for a fitted point process model.

In ppmlasso: Point Process Models with LASSO Penalties

Description

This function is analogous to the diagnose.ppm function of the spatstat package.

Usage

## S3 method for class 'ppmlasso'
diagnose(object, ...)

Arguments

object	A fitted regularisation path of point process models. The diagnostic plots will be created for the model that optimises the given criterion.
...	Other arguments for producing diagnostic plots, as given by the diagnose.ppm function of the spatstat package.

Details

See the help file for diagnose.ppm in the spatstat package for further details of diagnostic plots.

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

envelope.ppmlasso, for other goodness-of-fit functions 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)
diagnose(ppm.fit, which = "smooth", type = "Pearson")

Example output

Loading required package: spatstat
Loading required package: spatstat.data
Loading required package: nlme
Loading required package: rpart

spatstat 1.59-0       (nickname: 'J'ai omis les oeufs de caille') 
For an introduction to spatstat, type 'beginner' 


Note: R version 3.4.4 (2018-03-15) is more than 9 months old; we strongly recommend upgrading to the latest version
Calculating species environmental data for variable: FC 
Calculating species environmental data for variable: D_MAIN_RDS 
Calculating species environmental data for variable: D_URBAN 
Calculating species environmental data for variable: RAIN_ANN 
Calculating species environmental data for variable: TMP_MAX 
Calculating species environmental data for variable: TMP_MIN 
[1] "Output saved in the file SpEnvData.RData"
[1] "Output saved in the file TestPPM.RData"
Fitting Models: 1 of 20 
Fitting Models: 2 of 20 
Fitting Models: 3 of 20 
Fitting Models: 4 of 20 
Fitting Models: 5 of 20 
Fitting Models: 6 of 20 
Fitting Models: 7 of 20 
Fitting Models: 8 of 20 
Fitting Models: 9 of 20 
Fitting Models: 10 of 20 
Fitting Models: 11 of 20 
Fitting Models: 12 of 20 
Fitting Models: 13 of 20 
Fitting Models: 14 of 20 
Fitting Models: 15 of 20 
Fitting Models: 16 of 20 
Fitting Models: 17 of 20 
Fitting Models: 18 of 20 
Fitting Models: 19 of 20 
Fitting Models: 20 of 20 
Model diagnostics (Pearson residuals)
Diagnostics available:
	smoothed residual field
range of smoothed field =  [-0.07001, 0.05665]
Null standard deviation of smoothed Pearson residual field: 0.02689

ppmlasso documentation built on May 2, 2019, 8:20 a.m.