Depends: R (>= 3.2.0), MESS, graphics, stats, multtest, qvalue, limma

Author: Quentin Giai Gianetto, Florence Combes, Claire Ramus, Christophe Bruley, Yohann Couté, Thomas Burger

Title: Confirmatory Path Analysis Through 'd-sep' Tests
person("Alessandro", "Bellino", email = "alessandro_bellino@gmx.com", role = c("cre", "aut")),
person("Daniela", "Baldantoni", email = "dbaldantoni@unisa.it", role = "aut"))
Description: Functions to test and compare causal models using Confirmatory Path Analysis.
Imports: tcltk, grDevices, graphics, stats, utils

Title: Confirmatory Path Analysis through the d-sep tests
Author: Alessandro Bellino and Daniela Baldantoni
Description: The package includes functions to test and compare causal models.

Title: Methods to perform Common Principal Component Analysis (CPCA)
email = "andrey.ziyatdinov@upc.edu", role = c("aut", "cre")),
person("Samir", "Kanaan-Izquierdo", role = "aut"),
person("Nickolay T.", "Trendafilov", role = "aut"),
person("Alexandre", "Perera-Lluna", role = "aut"))
Description: This package contains methods to perform Common Principal
Component Analysis (CPCA). The stepwise method by Trendafilov is published
in the current version. Please see Trendafilov (2010). Stepwise estimation
of common principal components. Computational Statistics & Data Analysis,
Packaged: 2014-02-07 19:27:58 UTC; aziyatdinov

Title: Changepoint Analysis using Censored Time Series Data
Author: Hajra Siddiqa<hajrasiddiqa92@gmail.com>, Sajid Ali<sajidali@qau.edu.pk>, Ismail Shah<ishah@qau.edu.pk>
Description: To detect the changepoint, this package uses most recent changepoint, double cumulative sum binary segmentation, multiple changepoints in multivariate time series, analyzing each series in the panel independently, and analyzing aggregated data methods. This package is useful to simulate censored time series to detect the most recent changepoint in censored panel data as well as to assess prediction accuracy.
Imports: stats, utils, Rdpack, cents, tbart

Authors@R: c(person("Silverio", "Vilchez-Lopez", role = c("aut", "cre"), email = "svilchez@ujaen.es"),
person("Jose", "Rodriguez-Avi", role = "aut", email = "jravi@ujaen.es")
Description: Probability mass function, distribution function, quantile function and random generation for the Complex Triparametric Pearson (CTP) and Complex Biparametric Pearson (CBP) distributions developed by Rodriguez-Avi et al (2003) <doi:10.1007/s00362-002-0134-7>, Rodriguez-Avi et al (2004) <doi:10.1007/BF02778271> and Olmo-Jimenez et al (2018) <doi:10.1080/00949655.2018.1482897>. The package also contains maximum-likelihood fitting functions for these models.