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 ...

Process and manage the data from the Empatica E4. All functions operate on the EDA data stream, but other streams will be added soon. The Empatica E4 is a wearable physiological monitor made by Empatica (Empatica is not associated with any of this code). You can find more information about the E4 at Empatica's website <https://www.empatica.com/research/e4/>.

Fits dose-response models using an evolutionary
    algorithm to estimate the model parameters. The procedure currently
    can fit 3-parameter, 4-parameter, and 5-parameter log-logistic models
    as well as exponential models. Functions are also provided to plot,
    make predictions, and calculate confidence intervals for the resulting
    models. For details see "Nonlinear Dose-response Modeling of
    High-Throughput Screening Data Using an Evolutionary Algorithm",
    Ma, J., Bair, E., Motsinger-Reif, A.; Dose-Response
    18(2):1559325820926734 (2020) <doi:10.1177/1559325820926734>.