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paleopop  

Pattern-Oriented Modeling Framework for Coupled Niche-Population Paleo-Climatic Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("paleopop", "2.1.5")



Attach the package and use:
library("paleopop")
Maintained by
Julia Pilowsky
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-22
Latest Update: 2023-12-20
Description:
This extension of the poems pattern-oriented modeling (POM) framework provides a collection of modules and functions customized for paleontological time-scales, and optimized for single-generation transitions and large populations, across multiple generations.
How to cite:
Julia Pilowsky (2021). paleopop: Pattern-Oriented Modeling Framework for Coupled Niche-Population Paleo-Climatic Models. R package version 2.1.5, https://cran.r-project.org/web/packages/paleopop
Previous versions and publish date:
2.1.0 (2021-04-22 09:30), 2.1.1 (2021-04-23 10:20), 2.1.2 (2021-10-14 06:20), 2.1.3 (2022-10-06 10:40), 2.1.4 (2022-10-13 04:20), 2.1.5 (2023-10-11 18:40)
Other packages that cited paleopop R package
View paleopop citation profile
Other R packages that paleopop depends, imports, suggests or enhances
Functions, R codes and Examples using the paleopop R package
Some associated functions: PaleoPopModel . PaleoPopResults . PaleoRegion . bison_hs_raster . paleopop . paleopop_simulator . region_subset . siberia_raster . 
Some associated R codes: PaleoPopModel.R . PaleoPopResults.R . PaleoRegion.R . data.R . paleopop.R . paleopop_simulator.R . region_subset.R .  Full paleopop package functions and examples
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