### 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.