A random-effects stochastic model that allows quick detection of 
  clonal dominance events from clonal tracking data collected in gene therapy studies. Starting from the Ito-type equation describing the dynamics of cells duplication, death and differentiation at clonal level, we first considered its local linear approximation as the base model. 
  The parameters of the base model, which are inferred using a maximum likelihood approach, 
  are assumed to be shared across the clones. Although this assumption makes inference easier, 
  in some cases it can be too restrictive and does not take into account possible scenarios of clonal dominance. 
  Therefore we extended the base model by introducing random effects for the clones. 
  In this extended formulation the dynamic parameters are estimated using a tailor-made 
  expectation maximization algorithm. Further details on the methods can be found in L. Del Core et al., (2022) <doi:10.1101/2022.05.31.494100>.

Allow for easy-to-use testing or evaluating of linear equality and inequality restrictions about parameters and effects in (generalized) linear statistical models.

Allows to easily create high-performance full featured HTTP APIs from R
  functions. Provides high-level classes such as 'Request', 'Response',
  'Application', 'Middleware' in order to streamline server side
  application development. Out of the box allows to serve requests using
  'Rserve' package, but flexible enough to integrate with other HTTP servers
  such as 'httpuv'.

Allows wrapping values in success() and failure() types to capture 
    the result of operations, along with any status codes. Risky expressions can be 
    wrapped in as_result() and functions wrapped in result() to catch errors
    and assign the relevant result types. Monadic functions can be bound together 
    as pipelines or transaction scripts using then_try(), to gracefully handle 
    errors at any step.

Computation of resultant, subresultants, greatest common divisor, 
    integral division (aka division without remainder) of two multivariate polynomials 
    with rational coefficients, Sturm-Habicht sequence and square-free 
    factorization of a multivariate polynomial with rational coefficients. 
    The computations are performed by the 'C++' library 'CGAL' 
    (<https://www.cgal.org/>). Resultants have applications in polynomial 
    systems solving, number theory, and algebraic geometry. The package
    also contains some functions computing the number of real roots of a
    univariate polynomial with rational coefficients, and a function computing
    the division with remainder of two univariate polynomials with rational 
    coefficients.