Methods for choosing the rank of an SVD (singular value decomposition) 
    approximation via cross validation. The package provides both Gabriel-style 
    "block" holdouts and Wold-style "speckled" holdouts. It also includes an 
    implementation of the SVDImpute algorithm. For more information about
    Bi-cross-validation, see Owen & Perry's 2009 AoAS article
    (at <arXiv:0908.2062>) and Perry's 2009 PhD thesis
    (at <arXiv:0909.3052>).

Algorithms developed for binned data analysis,
  gene expression data analysis and
  measurement error models for ordinal data analysis.

The Bloom Detecting Algorithm enables the detection of blooms within a time series of species abundance and extracts 22 phenological variables. For details, see Karasiewicz et al. (2022) <doi:10.3390/jmse10020174>.

It brings together several aspects of biodiversity
    data-cleaning in one place. 'bdc' is organized in thematic modules
    related to different biodiversity dimensions, including 1) Merge
    datasets: standardization and integration of different datasets; 2)
    pre-filter: flagging and removal of invalid or non-interpretable
    information, followed by data amendments; 3) taxonomy: cleaning,
    parsing, and harmonization of scientific names from several taxonomic
    groups against taxonomic databases locally stored through the
    application of exact and partial matching algorithms; 4) space:
    flagging of erroneous, suspect, and low-precision geographic
    coordinates; and 5) time: flagging and, whenever possible, correction
    of inconsistent collection date. In addition, it contains
    features to visualize, document, and report data quality – which is
    essential for making data quality assessment transparent and
    reproducible. The reference for the methodology is Ribeiro and colleagues (2022)
    <doi:10.1111/2041-210X.13868>.

Fetches monthly financial tables and banking sector data published on the official website of the Banking Regulation and Supervision Agency of Turkey and also enables you to save it as an Excel file. It is a R implementation of the Python package <https://pypi.org/project/bddkdata/>.