Enables curving text elements in 'Shiny' apps.

Circular layout is an efficient way for the visualization of huge 
    amounts of information. Here this package provides an implementation 
    of circular layout generation in R as well as an enhancement of available 
    software. The flexibility of the package is based on the usage of low-level 
    graphics functions such that self-defined high-level graphics can be easily 
    implemented by users for specific purposes. Together with the seamless 
    connection between the powerful computational and visual environment in R, 
    it gives users more convenience and freedom to design figures for 
    better understanding complex patterns behind multiple dimensional data. 
    The package is described in Gu et al. 2014 <doi:10.1093/bioinformatics/btu393>.

A wrapper for 'circlize'. All components are based on classes and objects. Users can use the addition symbol (+) to combine components for a circular visualization with 'ggplot2' style.The package is described in Zhang Z, Cao T, Huang Y and Xia Y (2025) <doi:10.3389/fgene.2025.1535368>.

Provides tools for estimation and clustering of spherical data, seamlessly integrated with the 'flexmix' package. Includes the necessary M-step implementations for both Poisson Kernel-Based Distribution (PKBD) and spherical Cauchy distribution. Additionally, the package provides random number generators for PKBD and spherical Cauchy distribution. Methods are based on Golzy M., Markatou M. (2020) <doi:10.1080/10618600.2020.1740713>, Kato S., McCullagh P. (2020) <doi:10.3150/20-bej1222> and Sablica L., Hornik K., Leydold J. (2023) <doi:10.1214/23-ejs2149>.

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.