Title: Time series costationarity determination
Depends: R (>= 2.0), wavethresh, multicore
(i.e.  locally stationary series) this package can then
discover time-varying linear combinations that are second-order

Depends: R (>= 2.0), wavethresh (>= 4.6.1)

Description: Contains functions that can determine whether a time series
is second-order stationary or not (and hence evidence for
locally stationarity). Given two non-stationary series (i.e.
locally stationary series) this package can then discover
time-varying linear combinations that are second-order stationary.

Title: Time Series Costationarity Determination

Description: Reduction-based techniques for cost-sensitive multi-class classification, in which each observation has a different cost for classifying it into one class, and the goal is to predict the class with the minimum expected cost for each new observation.
Implements Weighted All-Pairs (Beygelzimer, A., Langford, J., & Zadrozny, B., 2008, <doi:10.1007/978-0-387-79361-0_1>), Weighted One-Vs-Rest (Beygelzimer, A., Dani, V., Hayes, T., Langford, J., & Zadrozny, B., 2005, <https://dl.acm.org/citation.cfm?id=1102358>) and Regression One-Vs-Rest.
Works with arbitrary classifiers taking observation weights, or with regressors. Also implements cost-proportionate rejection sampling for working with classifiers

person(given = "Sandra", family = "Siegfried", role = "aut"),
person(given = "Torsten", family = "Hothorn", role = c("aut", "cre"),
Description: Count transformation models featuring
parameters interpretable as discrete hazard ratios, odds ratios,
reverse-time discrete hazard ratios, or transformed expectations.
An appropriate data transformation for a count outcome and
regression coefficients are simultaneously estimated by maximising
the exact discrete log-likelihood using the computational framework
provided in package 'mlt', technical details are given in
Imports: variables (>= 1.0-2), basefun (>= 1.0-5)
Suggests: TH.data, knitr, lattice, colorspace

Suggests: TH.data, knitr, lattice, colorspace, multcomp