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MLpreemption  

Maximum Likelihood Estimation of the Niche Preemption Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MLpreemption", "1.0.1")



Attach the package and use:
library("MLpreemption")
Maintained by
Jan Graffelman
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-11
Latest Update: 2021-02-11
Description:
Provides functions for obtaining estimates of the parameter of the niche preemption model (also known as the geometric series), in particular a maximum likelihood estimator (Graffelman, 2021) . The niche preemption model is a widely used model in ecology and biodiversity studies.
How to cite:
Jan Graffelman (2021). MLpreemption: Maximum Likelihood Estimation of the Niche Preemption Model. R package version 1.0.1, https://cran.r-project.org/web/packages/MLpreemption. Accessed 26 Aug. 2026.
Previous versions and publish date:
No previous versions
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View MLpreemption citation profile
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Complete documentation for MLpreemption
Functions, R codes and Examples using the MLpreemption R package
Some associated functions: Fattorini . Ganeshaiah . Mehrabi . k_hetang . k_ls . k_may . k_ml . preemption.fit . preemption.t . raplot . raplot.paired . 
Some associated R codes: estim.R . fmay.R . fobj.R . k_hetang.R . k_ls.R . k_may.R . k_ml.R . preemption.fit.R . preemption.t.R . raplot.R . raplot.paired.R . var.ml.R .  Full MLpreemption package functions and examples
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