Represents the basis functions for B-splines in a simple matrix
    formulation that facilitates, taking integrals, derivatives, and
    making orthogonal the basis functions.

Implements the orthogonal reparameterization
    approach recommended by Lancaster (2002) to estimate dynamic panel
    models with fixed effects (and optionally: panel specific
    intercepts). The approach uses a likelihood-based estimator and
    produces estimates that are asymptotically unbiased as N goes to
    infinity, with a T as low as 2.

A collection of functions to construct sets of orthogonal
        polynomials and their recurrence relations. Additional
        functions are provided to calculate the derivative, integral,
        value and roots of lists of polynomial objects.

Connects to Google cloud vision <https://cloud.google.com/vision> to perform label detection and repurpose this feature for image classification.

A first implementation of automated parsing of user stories, when used 
  to defined functional requirements for operational research mathematical 
  models. It allows reading user stories, splitting them on the who-what-why template,
  and classifying them according to the parts of the mathematical model that 
  they represent. Also provides semantic grouping of stories, 
  for project management purposes.

Microarray probe ID is not convenient for further enrichment analysis and target gene selection.
    The package is created for the rice microarray probe ID conversion.
    This package can convert microarray probe ID from GPL6864 <https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL6864>, GPL8852 <https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL8852>, and GPL2025 <https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL2025> platforms to RAP-DB ID. RAP-DB "The Rice Annotation Project Database" <https://rapdb.dna.affrc.go.jp> is a well-known database for rice Oryza sativa, and the gene ID in this database is widely used in many areas related to rice research.
    For multiple probes representing a single gene, This package can merge them by taking the mean, max, or min value of these probes.
    Or we can keep multiple probes by appending sequence numbers to duplicate the RAP-DB ID.