ChooseRange: Choose range for the refined cross PCF ratio estimator

In kristianhessellund/Multilogreg: Semi-parametric models for multivariate point pattern data

Description

This is a method to choose the range for the refined cross PCF ratio estimator

Usage

ChooseRange(X, covariate, Beta, r, bwd, kern = "Epanechnikov", cPCF = NULL)

Arguments

X	A multivariate point process. X must be of class ppp.
covariate	Covariates. The covariates must be a matrix. The rows corresponds to the points in the point pattern and the columns indicates the corresponding covariates that are observed at the location of the point pattern.
Beta	Estimated first order parameters. Beta must be a matrix. The number of rows must correspond to the number of covariates. The number of columns must correspond to the number of point types.
r	A vector of distances
bwd	The bandwidth used
kern	The kernel function. Default is Epanechnikov. Alternatively, the kernel function can be Indicator.
cPCF	Non parametric estimates of cross PCF ratios. Default is cPCF = NULL. If cPCF = NULL, then the cross PCF ratios are estimated using the function CrossPCF

Value

Return estimated cross PCF ratios, r distances used, bandwidth used, refined cross PCF ratios and R^*

Author(s)

Kristian Bjørn Hessellund, Ganggang Xu, Yongtao Guan and Rasmus Waagepetersen.

References

Hessellund, K. B., Xu, G., Guan, Y. and Waagepetersen, R. (2020) Second order semi-parametric inference for multivariate log Gaussian Cox processes.

kristianhessellund/Multilogreg documentation built on Jan. 1, 2021, 7:23 a.m.