Package: ldmppr Type: Package Title: Estimate and Simulate from Location Dependent Marked Point Processes Version: 1.1.3.9000 Authors@R: c( person("Lane", "Drew", role = c("aut", "cre", "cph"), email = "lanetdrew@gmail.com", comment = c(ORCID = "0009-0006-5427-4092")), person("Andee", "Kaplan", role = "aut", comment = c(ORCID = "0000-0002-2940-889X"))) Maintainer: Lane Drew Description: A suite of tools for estimating, assessing model fit, simulating from, and visualizing location dependent marked point processes characterized by regularity in the pattern. You provide a reference marked point process, a set of raster images containing location specific covariates, and select the estimation algorithm and type of mark model. 'ldmppr' estimates the process and mark models and allows you to check the appropriateness of the model using a variety of diagnostic tools. Once a satisfactory model fit is obtained, you can simulate from the model and visualize the results. Documentation for the package 'ldmppr' is available in the form of a vignette. License: GPL (>= 3) Encoding: UTF-8 LazyData: true Imports: stats, bundle, Rcpp (>= 1.0.12), terra, doParallel, xgboost, parsnip (>= 1.4.0), dials, recipes, rsample, tune, workflows, magrittr, hardhat, ggplot2, spatstat.geom, spatstat.explore, nloptr, GET, progress, progressr, future, furrr, foreach, yardstick LinkingTo: Rcpp, RcppArmadillo URL: https://github.com/lanedrew/ldmppr, https://lanedrew.github.io/ldmppr/ BugReports: https://github.com/lanedrew/ldmppr/issues RoxygenNote: 7.3.3 Suggests: knitr, rmarkdown, testthat (>= 3.0.0), dplyr, rstudioapi, parallelly, ranger VignetteBuilder: knitr Depends: R (>= 3.5.0) Config/testthat/edition: 3 Config/pak/sysreqs: cmake libgdal-dev gdal-bin libgeos-dev make libicu-dev libuv1-dev libproj-dev libsqlite3-dev Repository: https://lanedrew.r-universe.dev Date/Publication: 2026-03-03 18:33:20 UTC RemoteUrl: https://github.com/lanedrew/ldmppr RemoteRef: HEAD RemoteSha: 1e6b5c4357d36dc1792d4c64193cfc1152c7b4fd NeedsCompilation: yes Packaged: 2026-09-19 09:59:18 UTC; root Author: Lane Drew [aut, cre, cph] (ORCID: ), Andee Kaplan [aut] (ORCID: )