Testing the first-order separability hypothesis for spatio-temporal point patterns

R codes for permutation-based tests of the separability hypothesis (example, source file with testing and plotting functions).
R codes for interactive visualization for assessing the separability hypothesis (example, source file with visualization functions, source file with estimation of space-time summaries).
R codes for stochastic reconstruction of space-time point patterns (example, source file with reconstruction procedure, source file with estimation of space-time summaries).
Ghorbani M., Vafaei N., Dvořák J., and Myllymäki M. (2021+). Testing the first-order separability hypothesis for spatio-temporal point patterns. To appear in Statistical Analysis and Data Mining.

Nonparametric testing of the dependence structure among points-marks-covariates in spatial point patterns

R codes for testing independence between the points and a covariate (P-C test, here) and for testing independence between the marks and a covariate (PM-C test, here).
Dvořák J., Mrkvička T., Mateu J., and Gonzáles J.A. (2021+). Nonparametric testing of the dependence structure among points-marks-covariates in spatial point patterns. Submitted.

Graphical tests of independence for general distributions

R codes for testing independence between two random variables (source codes and examples).
Dvořák J., and Mrkvička T. (2021+). Graphical tests of independence for general distributions. Submitted.

Revisiting the random shift approach for testing in spatial statistics

Source codes for testing independence of a pair of random fields (here) and for testing independence in a bivariate point process (using the cross K-function or the cross G-function).
Mrkvička T., Dvořák J., Gonzáles J.A., and Mateu J. (2021). Revisiting the random shift approach for testing in spatial statistics. Spatial Statistics 42, 100430.

Clover plot: Versatile visualisation in nonparametric classification

A website with examples of the dynamic version of the clover plot, including several additional examples and a complete description of the R functions, is available at the GEMS project website, along with the relevant source codes.
Supplementary material to paper Dvořák J., Hudecová, Š., and Nagy S. (2020). Clover plot: Versatile visualisation in nonparametric classification. Statistical Analysis and Data Mining 13(6), 548-564.

Robust depth-based inference in elliptical models

A working R script with examples is available at the GEMS project website.
Nagy S., and Dvořák J. (2020+). Robust depth-based inference in elliptical models. Under review.