README.md

GET

An R library for Global Envelope Tests

Installation

You can install the GET library from github through remotes package with the following two R commands:

library(remotes)
install_github('myllym/GET')

If you do not have the R library remotes installed, install it first by

install.packages("remotes")

After installation, in order to start using GET, load it to R and see the main help page, which describes the usage of the functions of the library:

library(GET)
help(GET)

In order to use the function random_labelling, the R library marksummary is needed. It is available at https://github.com/myllym/marksummary.

Branches

The branch for public use is called master. There are no other public branches at the moment. The branch 'no_fastdepth' of the library spptest was taken as the master branch of GET September 21, 2016. The library spptest has become GET, which is developed further.

References

To cite GET in publications use:

Myllymäki, M., Mrkvička, T., Grabarnik, P., Seijo, H. and Hahn, U. (2017). Global envelope tests for spatial processes. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 79: 381-404. doi: 10.1111/rssb.12172 http://dx.doi.org/10.1111/rssb.12172 (You can find the preprint of the article here: http://arxiv.org/abs/1307.0239v4)

Mrkvička, T., Myllymäki, M. and Hahn, U. (2017). Multiple Monte Carlo testing, with applications in spatial point processes. Statistics and Computing 27 (5): 1239-1255. https://doi.org/10.1007/s11222-016-9683-9

If you use functional ANOVA, please also cite:

Mrkvička, T., Hahn, U. and Myllymäki, M. (2016). A one-way ANOVA test for functional data with graphical interpretation. arXiv:1612.03608 [stat.ME] (http://arxiv.org/abs/1612.03608)

If you use deviation tests, please also cite:

Myllymäki, M., Grabarnik, P., Seijo, H., and Stoyan, D. (2015). Deviation test construction and power comparison for marked spatial point patterns. Spatial Statistics 11: 19-34. https://doi.org/10.1016/j.spasta.2014.11.004 (You can find the preprint of the article here: http://arxiv.org/abs/1306.1028)

If you use apply tests to spatial residuals, please also cite:

Mrkvička, T., Soubeyrand, S., Myllymäki, M., Grabarnik, P., and Hahn, U. (2016). Monte Carlo testing in spatial statistics, with applications to spatial residuals. Spatial Statistics 18, Part A: 40--53. https://doi.org/10.1016/j.spasta.2016.04.005



myllym/GET documentation built on Sept. 30, 2018, 5:49 a.m.