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ldmppr  

Estimate and Simulate from Location Dependent Marked Point Processes
View on CRAN: Click here


Download and install ldmppr package within the R console
Install from CRAN:
install.packages("ldmppr")

Install from Github:
library("remotes")
install_github("cran/ldmppr")

Install by package version:
library("remotes")
install_version("ldmppr", "1.0.3")



Attach the package and use:
library("ldmppr")
Maintained by
Lane Drew
[Scholar Profile | Author Map]
First Published: 2024-12-02
Latest Update: 2024-12-02
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.
How to cite:
Lane Drew (2024). ldmppr: Estimate and Simulate from Location Dependent Marked Point Processes. R package version 1.0.3, https://cran.r-project.org/web/packages/ldmppr. Accessed 17 Feb. 2025.
Previous versions and publish date:
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Complete documentation for ldmppr
Functions, R codes and Examples using the ldmppr R package
Full ldmppr package functions and examples
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