Recent Methods for Kernel Density Estimation of Circular Data // Provides recent kernel density estimation methods for circular data, including adaptive and higher-order techniques. The implementation is based on recent advances in bandwidth selection and circular smoothing. Key methods include adaptive bandwidth selection methods by Zmenk et al. (2024) doi:10.1007/s00180-023-01401-0, complete cross-validation by Hasilov et al. (2024) doi:10.59170/stattrans-2024-024, Fourier- based plug-in rules by Tenreiro (2022) doi:10.1080/10485252.2022.2057974, and higher-order kernels by Tsuruta Sagae (2017) doi:10.1016/j.spl.2017.08.003.