Title: Functions for Time Series Analysis
Description: Includes non-parametric estimators and tests for time series analysis. The functions allow to test for presence of possibly non-monotonic trends and for synchronism of trends in multiple time series, using modern bootstrap techniques and robust non-parametric difference-based estimators.

Description: Includes non-parametric estimators and tests for time series analysis. The functions are to test for presence of possibly non-monotonic trends and for synchronism of trends in multiple time series, using modern bootstrap techniques and robust non-parametric difference-based estimators.

Authors@R: c(person("Vyacheslav", "Lyubchich", role = c("aut", "cre"),
person("Yulia R.", "Gel", role = "aut"),
person("Ethan D.", "Schaeffer", role = "ctb"),
Depends: dbscan, Jmisc, Kendall, R (>= 3.0.0)
Author: Vyacheslav Lyubchich [aut, cre],

person("Srishti", "Vishwakarma", role = "ctb"),

Suggests: ggplot2, knitr, patchwork, rmarkdown
Description: Includes nonparametric estimators and tests for time series analysis. The functions are to test for presence of possibly non-monotonic trends and for synchronism of trends in multiple time series, using bootstrap techniques and robust nonparametric difference-based estimators.

person("Umar", "Islambekov", role = "ctb"),
person("Palina", "Niamkova", role = "aut"),
person("Dorcas", "Ofori-Boateng", role = "ctb"),
Imports: Jmisc, Kendall, Rdpack, TDA, FNN, dbscan, igraph
Suggests: covid19us, Ecdat, ggplot2, knitr, patchwork, randomcoloR,

person("Alexander", "Brenning", role = "ctb"),
person("Palina", "Niamkova", role = "ctb"),

Imports: Jmisc, Kendall, Rdpack, FNN, dbscan, igraph
Suggests: covid19us, Ecdat, ggplot2, gridExtra, knitr, patchwork,
Description: Nonparametric estimators and tests for time series analysis. The functions use bootstrap techniques and robust nonparametric difference-based estimators to test for the presence of possibly nonmonotonic trends and for synchronism of trends in multiple time series.