Comprehensive suite of Granger causality tests for time series
    and panel data. For time series: Toda-Yamamoto (1995)
    <doi:10.1016/0304-4076(94)01616-8>, Fourier-based tests with single
    frequency (Enders and Jones, 2016) <doi:10.1515/snde-2014-0101> and
    cumulative frequencies (Nazlioglu et al., 2019)
    <doi:10.1080/1540496X.2018.1434072>, quantile causality tests (Cai et al.,
    2023) <doi:10.1016/j.frl.2023.104327>, and Bootstrap Fourier Granger
    Causality in Quantiles (Cheng et al., 2021)
    <doi:10.1007/s12076-020-00263-0>. For panel data: Panel Fourier
    Toda-Yamamoto (Yilanci and Gorus, 2020)
    <doi:10.1007/s11356-020-10092-9> and Panel Quantile Causality tests
    (Wang and Nguyen, 2022) <doi:10.1080/1331677X.2021.1952089>, as well as
    Group-Mean and Pooled Fully Modified OLS estimators for panel
    cointegrating polynomial regressions (Wagner and Reichold, 2023)
    <doi:10.1080/07474938.2023.2178141>. All tests include bootstrap
    inference for robust p-values.

Design and use of control charts for detecting mean changes 
 based on a delayed updating of the in-control parameter estimates.
 See Capizzi and Masarotto (2019) <doi:10.1080/00224065.2019.1640096> for the
 description of the method.

Provides six variants of two-way correspondence analysis (ca):
   simple ca, singly ordered ca, doubly ordered ca, non symmetrical ca,
   singly ordered non symmetrical ca, and doubly ordered non symmetrical
   ca.

Cluster analysis is performed using pairwise distance information and a random partition distribution. The method is
             implemented for two random partition distributions. It draws samples and then obtains and plots clustering estimates.
             An implementation of a selection algorithm is provided for the mass parameter of the partition distribution. Since 
             pairwise distances are the principal input to this procedure, it is most comparable to the hierarchical and k-medoids
             clustering methods. The method is Dahl, Andros, Carter (2022+) <doi:10.1002/sam.11602>.