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ldmppr is anR package for working with location dependent markedpoint processes. The package includes a suite of tools for modelestimation, model fit assessment, visualization, and simulation formarked point processes with dependence between the marks and locationsand regularity in the pattern.

1. Estimate the parameters of a self-correcting point process given areference dataset.
2. Train a mark model using simulated or real-world data.
3. Check the fit of the model using various non-parametric summariesfor point processes and global envelope tests.
4. Simulate and visualize datasets from the fitted model.

For additional details on implementing the package workflow, runvignette("ldmppr_howto") inR after installing the package.

You can install the development version ofldmppr fromGitHub with:

# install.packages("devtools")devtools::install_github("lanedrew/ldmppr",build_vignettes=TRUE)

You can install the stable version ofldmppr from CRAN:

install.packages("ldmppr")

For details on how to install theterra package thatldmppr dependson, please visit theterra installationpage.