spptest is now GET. Get it now at https://github.com/myllym/GET!
An R library for spatial point pattern testing
spptest provides envelope and deviation tests for spatial point processes. The main motivation for a new package are the scalings for deviation tests and global envelope tests.
Install the library to R with the following two R commands:
library(devtools)
install_github('myllym/spptest', ref = 'no_fastdepth')If you do not have the library ´devtools´ installed, install it first by
install.packages("devtools")After installation, in order to start using spptest, load it to R and see
the main help page, which describes the usage of the functions of the library:
library(spptest)
help(spptest) # or help(spptest, help="html")In order to use the function random_labelling, the R library marksummary is
needed. It is currently available by request.
The branch for current public use is called no_fastdepth. It includes all the
same features as the master branch. The only difference is that the master
branch includes references to functional depth measures provided by the R
library fastdepth which is not yet publicly available.
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. (Preprint of the article: http://arxiv.org/abs/1306.1028)
Myllymäki, M., Mrkvička, T., Grabarnik, P., Seijo, H. and Hahn, U. (2016). Global envelope tests for spatial processes. Journal of the Royal Statistical Society: Series B (Statistical Methodology). doi: 10.1111/rssb.12172 (Preprint of the article: http://arxiv.org/abs/1307.0239v4)
Mrkvička, T., Myllymäki, M. and Hahn, U. (2016). Multiple Monte Carlo testing, with applications in spatial point processes. Statistics and Computing. doi: 10.1007/s11222-016-9683-9
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. doi: http://dx.doi.org/10.1016/j.spasta.2016.04.005