residuals.ppmnet: Residuals for a 'ppmnet' object

In jeffdaniel/ppmnet: Regularized Spatial Point Process Models

Description

Computes residual measures for a regularization path of point process models fit via penalized composite likelihood.

Usage

## S3 method for class 'ppmnet'
residuals(object, s = NULL, type = c("raw", "inverse",
  "pearson"), ...)

Arguments

object	A fitted ppmnet object.
s	Value(s) of the penalty tuning parameter at which residuals are to be computed. Default is the entire sequence used to fit the regularization path.
type	Type of residuals to be computed. Options are "raw", "inverse", and "pearson".
...	Ignored

Value

If s is of length 1, a measure (of class msr); otherwise, a vector-valued measure (of class msr), with each component corresponding to a model in the regularization path.

Examples

Qp <- quadscheme(Xp)
fit <- ppmnet(Qp, exdata)
res <- residuals(fit)
smo <- Smooth(unstack(res)[[40]])
plot(smo)

jeffdaniel/ppmnet documentation built on Aug. 14, 2019, 6:31 a.m.