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.
