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ldmppr
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", "1.0.4")
Attach the package and use:
library("ldmppr")
Maintained by
Lane Drew
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.ldmppr . https://github.com/lanedrew/ldmppr/issues . https://github.com/lanedrew/ldmppr . ldmppr results . ldmppr.pdf . ldmppr_howto . ldmppr_1.0.4.tar.gz . ldmppr_1.0.4.zip . ldmppr_1.0.4.zip . ldmppr_1.0.4.zip . ldmppr_1.0.4.tgz . ldmppr_1.0.4.tgz . ldmppr_1.0.4.tgz . ldmppr_1.0.4.tgz . ldmppr archive . https://CRAN.R-project.org/package=ldmppr .
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 1.0.4, https://cran.r-project.org/web/packages/ldmppr. Accessed 04 May. 2025.
Previous versions and publish date:
1.0.3 (2024-12-02 13:41)
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