A fold change rank based method is presented to search for genes with 
             changing expression and to detect recurrent chromosomal copy number 
             aberrations. This method may be useful for high-throughput biological 
             data (micro-array, sequencing, ...).
             Probabilities are associated with genes or probes in the data set and 
             there is no problem of multiple tests when using this method. For
             array-based comparative genomic hybridization data, segmentation 
             results are obtained by merging the significant probes detected.

Provides a collection of utility functions for manipulating and analyzing factor vectors in R. It offers tools for filtering, splitting, combining, and reordering factor levels based on various criteria. The package is designed to simplify common tasks in categorical data analysis, making it easier to work with factors in a flexible and efficient manner.

Automatically suggests a correction when a typo occurs.

Implements the Fourier cumulative sum (CUSUM) cointegration test 
    for detecting cointegration relationships in time series data with 
    structural breaks. The test uses Fourier approximations to capture smooth 
    structural changes and CUSUM statistics to test for cointegration stability.
    Based on methodology described in Zaghdoudi (2025) 
    <doi:10.46557/001c.144076>. The corrected Akaike Information Criterion 
    (AICc) is used for optimal frequency selection.

Estimation and inference using the Fractionally Cointegrated 
    Vector Autoregressive (VAR) model. It includes functions for model specification, 
    including lag selection and cointegration rank selection, as well as a comprehensive
    set of options for hypothesis testing, including tests of hypotheses on the 
    cointegrating relations, the adjustment coefficients and the fractional 
    differencing parameters. 
    An article describing the FCVAR model with examples is available on the Webpage 
    <https://sites.google.com/view/mortennielsen/software>.