Download large sections of
    'GenBank' <https://www.ncbi.nlm.nih.gov/genbank/> and generate a local
    SQL-based database. A user can then query this database using 'restez'
    functions or through 'rentrez' <https://CRAN.R-project.org/package=rentrez>
    wrappers.

Models a RESTful service as if it were a nested R list.

Provides the user with functions to develop their trading strategy,
    uncover actionable trading ideas, and monitor consensus shifts with
    crowdsourced earnings and economic estimate data directly from
    <www.estimize.com>. Further information regarding the web services this
    package invokes can be found at <www.estimize.com/api>.

Implementation of the RESTK algorithm based on Markov's Inequality from  Vilardell, Sergi, Serra, Isabel, Mezzetti, Enrico, Abella, Jaume, Cazorla, Francisco  J. and Del Castillo, J. (2022). "Using Markov's Inequality with Power-Of-k Function for Probabilistic WCET Estimation". In 34th Euromicro Conference on Real-Time Systems (ECRTS 2022). Leibniz International Proceedings in Informatics (LIPIcs) 231 20:1-20:24. <doi:10.4230/LIPIcs.ECRTS.2022.20>. This work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 772773).

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>.