Author: Yasser Gonzalez-Fernandez <ygonzalezfernandez@gmail.com> and

Description: This package provides a platform where Estimation of Distribution Algorithms (EDAs) based on copulas can be implemented and studied. It contains complete implementations of various EDAs based on copulas and vines, and it also offers the possibility of implementing new algorithms. EDAs are implemented using S4 classes with generic functions for its main parts: seeding, selection, learning, sampling, replacement, local optimization, termination, and reporting. The package also provides a group of well-known benchmark problems and utility functions to study the behavior of EDAs.
Imports: copula, vines (>= 1.0.10), mvtnorm, truncnorm

Imports: copula, vines (>= 1.1.0), mvtnorm, truncnorm

Description: Provides a platform where EDAs (estimation of
distribution algorithms) based on copulas can be implemented and
studied. The package offers complete implementations of various
EDAs based on copulas and vines, a group of well-known
optimization problems, and utility functions to study the
performance of the algorithms. Newly developed EDAs can be easily
integrated into the package by extending an S4 class with generic
Imports: copula, vines, mvtnorm, truncnorm
Packaged: 2015-10-22 22:22:50 UTC; yasserglez

Packaged: 2018-07-29 05:19:56 UTC; yasserglez

Authors@R: c(person("Simon Boge", "Brant", role = c("aut", "cre","cph"),
person("Ingrid", "Hobæk Haff", role = "aut"))
Fits multivariate models in an R-vine pair copula construction framework,
in such a way that the conditional copula can be easily evaluated.
In addition, the package implements functionality to compute or approximate
the conditional expectation via the conditional copula.
Author: Simon Boge Brant [aut, cre, cph],
Maintainer: Simon Boge Brant <simonbb@math.uio.no>

Title: Assembling Long Gene Copies from Short Read Data
Description: Assembles two or more gene copies from short-read Next-Generation Sequencing data. Works best when there are only two gene copies and read length >=250 base pairs. High and relatively even coverage are important.
Imports: ape, seqinr, stringr, kmer, DECIPHER, beepr, Biostrings,