Computation and visualization of matrix correlation coefficients.
    The main method is the Similarity of Matrices Index, while various related
    measures like r1, r2, r3, r4, Yanai's GCD, RV, RV2, adjusted RV, Rozeboom's
    linear correlation and Coxhead's coefficient are included
    for comparison and flexibility.

The user must supply a matrix filled with similarity values. The software will search for significant differences between similarity values at different hierarchical levels. The algorithm will return a Loess-smoothed plot of the similarity values along with the inflection point, if there are any. There is the option to search for an inflection point within a specified range. The package also has a function that will return the matrix components at a specified cutoff. References: Mullner. <ArXiv:1109.2378>; Cserhati, Carter. (2020, Journal of Creation 34(3):41-50), <https://dl0.creation.com/articles/p137/c13759/j34-3_64-73.pdf>.

Tools for phase-type distributions including the following variants:
    continuous, discrete, multivariate, in-homogeneous, right-censored, and regression. 
    Methods for functional evaluation, simulation and estimation using the 
    expectation-maximization (EM) algorithm are provided for all models.
    The methods of this package are based on the following references.
    Asmussen, S., Nerman, O., & Olsson, M. (1996). Fitting phase-type distributions via the EM algorithm,
    Olsson, M. (1996). Estimation of phase-type distributions from censored data,
    Albrecher, H., & Bladt, M. (2019) <doi:10.1017/jpr.2019.60>,
    Albrecher, H., Bladt, M., & Yslas, J. (2022) <doi:10.1111/sjos.12505>,
    Albrecher, H., Bladt, M., Bladt, M., & Yslas, J. (2022) <doi:10.1016/j.insmatheco.2022.08.001>,
    Bladt, M., & Yslas, J. (2022) <doi:10.1080/03461238.2022.2097019>,
    Bladt, M. (2022) <doi:10.1017/asb.2021.40>,
    Bladt, M. (2023) <doi:10.1080/10920277.2023.2167833>,
    Albrecher, H., Bladt, M., & Mueller, A. (2023) <doi:10.1515/demo-2022-0153>,
    Bladt, M. & Yslas, J. (2023) <doi:10.1016/j.insmatheco.2023.02.008>.