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exuber 1.0.1

Maintenance release to accommodate breaking changes in dplyr 1.1.0.

exuber 1.0.0

This first major release accompanies the publication of an article in the Journal of Statistical Software:

Vasilopoulos, K., Pavlidis, E., & Martínez-García, E. (2022). exuber: Recursive Right-Tailed Unit Root Testing with R. Journal of Statistical Software, 103(1), 1–26. https://doi.org/10.18637/jss.v103.i10

augment method for radf_obj and radf_cv

Bug Fixes

exuber 0.4.2

exuber 0.4.1

Maintenance release for compatibility with dplyr v1.0.0.

exuber 0.4.0

Design

We have the following design in mind for future scalability. If you want make inference about radf models, then the estimation can be achieved with radf() function and return an object of class radf_obj, and the critical values can be achieved with radf_*_cv() and return an object of class radf_cv.

Breaking changes

exuberdata

Improvements

exuber 0.3.0

Breaking changes

Three new functions have been added to simulate empirical distributions for:

and a function that can calculate the p-values calc_pvalue() given the above distributions as argument.

Also methods tidy() and autoplot() have been added to turn the object into a tidy tibble and draw a particular plot with ggplot2, respectively.

New features

Improvements

Bug Fixes

exuber 0.2.1.9000

exuber 0.2.1

exuber 0.2.0

Options

Some of the arguments in the functions were included as options, you can set the package options with e.g. options(exuber.show_progress = TRUE).

New features

Improvements

Bug Fixes

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.