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MigConnectivity  

Estimate Migratory Connectivity for Migratory Animals
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MigConnectivity", "0.5.0")



Attach the package and use:
library("MigConnectivity")
Maintained by
Jeffrey A. Hostetler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-16
Latest Update: 2025-09-03
Description:
Allows the user to estimate transition probabilities for migratory animals between any two phases of the annual cycle, using a variety of different data types. Also quantifies the strength of migratory connectivity (MC), a standardized metric to quantify the extent to which populations co-occur between two phases of the annual cycle. Includes functions to estimate MC and the more traditional metric of migratory connectivity strength (Mantel correlation) incorporating uncertainty from multiple sources of sampling error. For cross-species comparisons, methods are provided to estimate differences in migratory connectivity strength, incorporating uncertainty. See Cohen et al. (2018) , Cohen et al. (2019) , and Roberts et al. (2023) for details on some of these methods.
How to cite:
Jeffrey A. Hostetler (2024). MigConnectivity: Estimate Migratory Connectivity for Migratory Animals. R package version 0.5.0, https://cran.r-project.org/web/packages/MigConnectivity. Accessed 27 Aug. 2026.
Previous versions and publish date:
0.4.5 (2024-01-16 15:20), 0.4.6 (2024-03-18 16:20), 0.4.7 (2024-03-26 18:40), (2026-07-09 08:10)
Other packages that cited MigConnectivity R package
View MigConnectivity citation profile
Other R packages that MigConnectivity depends, imports, suggests or enhances
Complete documentation for MigConnectivity
Functions, R codes and Examples using the MigConnectivity R package
Full MigConnectivity package functions and examples
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