CircMLE: Maximum Likelihood Analysis of Circular Data
A series of wrapper functions to
implement the 10 maximum likelihood models of animal orientation
described by Schnute and Groot (1992) <doi:10.1016/S0003-3472(05)80068-5>. 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)
<doi:10.1186/s12898-019-0246-8>. The latest version also includes a new
method to calculate circular-circular and circular-linear distance correlations.
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