Fernando H. Toledo [aut, cre],
International Maize and Wheat Improvement Center [cph]
Accomplish high performance simulations in quantitative genetics.
The molecular genetic components are represented by R6/C++ classes and methods.
Mimic the meiosis recombination and de novo genetic variability by means a
count-location process (Karlin & Liberman, 1978) <doi:10.1073/pnas.75.12.6332>.
The core computational algorithm is implemented using 'Boost' dynamic bitsets
(Schaling, 2014) [ISBN:978-1937434366]. A mix between low and high level interfaces
provides great flexibility and allows user defined extensions and a wide range of
applications.
'ISQG.R' 'Mating.R' 'R6Classes.R' 'Functions.R' 'Trait.R'
'RcppExports.R' 'Hooks.R'

Fernando H. Toledo [aut, cre] (<https://orcid.org/0000-0003-0158-643X>)
International Maize and Wheat Improvement Center [cph]
Accomplish high performance simulations in quantitative genetics.
The molecular genetic components are represented by R6/C++ classes and methods.
The core computational algorithm is implemented using bitsets according to
<doi:10.1534/g3.119.400373>. A mix between low and high level interfaces
provides great flexibility and allows user defined extensions and a wide range of
applications.

Generates a report from a GitHub issue thread, using R Markdown.

Obtaining Open Data from Instituto Canario De Estadistica
(ISTAC) API
c(
person("Alberto", "Gonzalez", email = "jgonyanp@gobiernodecanarias.org", role = c("aut", "cre"))
)
You can access to open data published in Instituto Canario De Estadistica (ISTAC) APIs at <https://www.gobiernodecanarias.org/istac/api/>.

2019-12-17 14:12:28 UTC; Andres Nacimiento

You can access to open data published in Instituto Canario De Estadistica (ISTAC) APIs at <https://datos.canarias.es/api/estadisticas/>.

Independent Surrogate Variable Analysis is a general
algorithm for feature selection in the presence of potentially
confounding factors.

Independent Surrogate Variable Analysis is a general
algorithm for feature selection in the presence of potential
confounding factors.