Scripting of structural equation models via 'lavaan' for
    Dyadic Data Analysis, and helper functions for supplemental
    calculations, tabling, and model visualization.  Current models
    supported include Dyadic Confirmatory Factor Analysis, the Actor–Partner 
    Interdependence Model (observed and latent), the Common Fate Model
    (observed and latent), Mutual Influence Model (latent), and the Bifactor
    Dyadic Model (latent).

It is used to identify dysregulated pathways based on a pre-ranked gene pair list. A fast algorithm is used to make the computation really fast. The data in package 'DysPIAData' is needed.

This dataset includes Background and Pathway data used in package 'DysPIA'.

In practice, we will encounter problems where the longitudinal performance of processes needs to be monitored over time. 
  Dynamic screening systems (DySS) are methods that aim to identify and give signals to processes with poor performance as early as possible. 
  This package is designed to implement dynamic screening systems and the related methods.
  References:
  Qiu, P. and Xiang, D. (2014) <doi:10.1080/00401706.2013.822423>;
  Qiu, P. and Xiang, D. (2015) <doi:10.1002/sim.6477>;
  Li, J. and Qiu, P. (2016) <doi:10.1080/0740817X.2016.1146423>;
  Li, J. and Qiu, P. (2017) <doi:10.1002/qre.2160>;
  You, L. and Qiu, P. (2019) <doi:10.1080/00949655.2018.1552273>;
  Qiu, P., Xia, Z., and You, L. (2020) <doi:10.1080/00401706.2019.1604434>;
  You, L., Qiu, A., Huang, B., and Qiu, P. (2020) <doi:10.1002/bimj.201900127>;
  You, L. and Qiu, P. (2021) <doi:10.1080/00224065.2020.1767006>.

Functions for latent class analysis, short time Fourier
	     transform, fuzzy clustering, support vector machines,
	     shortest path computation, bagged clustering, naive Bayes
	     classifier, generalized k-nearest neighbour ...

Provides a framework to build and evaluate diagnosis or 
    prognosis models using stacking, voting, and bagging ensemble
    techniques with various base learners. The package also includes
    tools for visualization and interpretation of models. The development
    version of the package is available on 'GitHub' at 
    <https://github.com/xiaojie0519/E2E>. The methods 
    are based on the foundational work of Breiman (1996) <doi:10.1007/BF00058655>
    on bagging and Wolpert (1992) <doi:10.1016/S0893-6080(05)80023-1> 
    on stacking.