A summarization method to estimate allele-specific copy number signals for Affymetrix SNP microarrays using non-negative matrix factorization (NMF).

Provides SNP array data from different types of
    copy-number regions. These regions were identified manually by the authors
    of the package and may be used to generate realistic data sets with known
    truth.

Archimax copulas are mixture of Archimedean and EV copulas. The package provides definitions of several parametric families of generator and dependence function, computes CDF and PDF, estimates parameters, tests for goodness of fit, generates random sample and checks copula properties for custom constructs. In 2-dimensional case explicit formulas for density are used, contrary to higher dimensions when all derivatives are linearly approximated. Several non-archimax families (normal, FGM, Plackett) are provided as well.

Make acoustic cues to use with the R packages 'ndl' or 'ndl2'. The package implements functions used
              in the PLoS ONE paper:
              Denis Arnold, Fabian Tomaschek, Konstantin Sering, Florence Lopez, and R. Harald Baayen (2017).
              Words from spontaneous conversational speech can be recognized with human-like accuracy by 
              an error-driven learning algorithm that discriminates between meanings straight from smart 
              acoustic features, bypassing the phoneme as recognition unit.  PLoS ONE 12(4):e0174623
              <doi:10.1371/journal.pone.0174623>
              More details can be found in the paper and the supplement.
              'ndl' is available on CRAN. 'ndl2' is available by request from <konstantin.sering@uni-tuebingen.de>.

Analysis of count data exhibiting autoregressive properties, using the Autoregressive Conditional Poisson model (ACP(p,q)) proposed by Heinen (2003).

Assists researchers and output checkers by distinguishing between research output that is safe to publish, output that requires further analysis, and output that cannot be published because of substantial disclosure risk. A paper about the tool was presented at The United Nations Economic Commission for Europe Expert Meeting on Statistical Data Confidentiality, see <https://unece.org/statistics/events/SDC2023> and <https://uwe-repository.worktribe.com/output/11060964>.