MCLEEPS specifications


Unique identifier OMICS_20131
Alternative name Monte Carlo Likelihood for Estimation of Effective Population Size
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Computer skills Advanced
Version 1.1
Stability Stable
Maintained Yes




No version available



  • person_outline Eric C. Anderson

Publication for Monte Carlo Likelihood for Estimation of Effective Population Size

MCLEEPS citation


Catastrophic Floods May Pave the Way for Increased Genetic Diversity in Endemic Artesian Spring Snail Populations

PLoS One
PMCID: 3243680
PMID: 22205959
DOI: 10.1371/journal.pone.0028645
call_split See protocol

[…] statistical methods of estimating Ne in the pre and post flood years for each of the focal springs. The programs were as follows 1) NEESTIMATOR v1.3 which provides a moment-based estimate of Ne ; 2) MCLEEPS v1.1 which provides a maximum-likelihood estimate of Ne. We used this program to compute the likelihoods for Ne values between 5 and 1000 in increments of 5 using 10,000 Monte Carlo replicate […]

MCLEEPS institution(s)
Interdisciplinary Program in Quantitative Ecology and Resource Management, University of Washington, Seattle, WA, USA; Department of Integrative Biology, University of California, Berkeley, CA, USA; Department of Statistics, University of Washington, Seattle, WA, USA
MCLEEPS funding source(s)
National Science Foundation grants BIR-9807747 and BIR-9256537; National Institutes of Health grant GM40282; the University of Washington QERM program; a Burroughs Wellcome Fund PMMB training fellowship

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