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CircMLE  

Maximum Likelihood Analysis of Circular Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CircMLE", "0.3.0")



Attach the package and use:
library("CircMLE")
Maintained by
Robert Fitak
[Scholar Profile | Author Map]
First Published: 2017-05-13
Latest Update: 2020-09-01
Description:
A series of wrapper functions to implement the 10 maximum likelihood models of animal orientation described by Schnute and Groot (1992) . The functions also include the ability to use different optimizer methods and calculate various model selection metrics (i.e., AIC, AICc, BIC). The ability to perform variants of the Hermans-Rasson test and Pycke test is also included as described in Landler et al. (2019) . The latest version also includes a new method to calculate circular-circular and circular-linear distance correlations.
How to cite:
Robert Fitak (2017). CircMLE: Maximum Likelihood Analysis of Circular Data. R package version 0.3.0, https://cran.r-project.org/web/packages/CircMLE. Accessed 01 May. 2025.
Previous versions and publish date:
0.1.0 (2017-05-13 01:12), 0.2.0 (2017-06-30 00:12), 0.2.1 (2018-02-20 16:09), 0.2.2 (2019-10-17 19:30), 0.2.3 (2020-01-31 19:00)
Other packages that cited CircMLE R package
View CircMLE citation profile
Other R packages that CircMLE depends, imports, suggests or enhances
Complete documentation for CircMLE
Functions, R codes and Examples using the CircMLE R package
Some associated functions: HR_test . M1 . M2A . M2B . M2C . M3A . M3B . M4A . M4B . M5A . M5B . check_data . ci_circmle . circ_mle . dcor.circular . lr_test . plot_circMLE . pycke_test . 
Some associated R codes: Full CircMLE package functions and examples
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