A software package for fitting and assessing multi-dimensional point process models using the R sta- tistical computing environment is described. Methods of residual analysis based on random thinning are discussed and implemented. Features of the software are demonstrated using data on wildfire occurrences in Northern Los Angeles County, California.
Peng, R. D. (2015). Multi-Dimensional Point Process Models in R . Journal of Statistical Software, 8(16). https://doi.org/10.18637/jss.v008.i16