Title: Create, Modify and Visualize Multi-Layered Networks
Description: Allows the user to create graph with multiple layers. The user can also modify the layers, the nodes, and the edges. The graph can also be visualized.
Zaynab Hammoud and Frank Kramer (2018) <doi:10.3390/genes9110519>.
More about multilayered graphs and their usage can be found in our review paper:
Imports: igraph, rgl, randomcoloR, shape
Packaged: 2020-11-13 19:07:34 UTC; Administrator

Packaged: 2020-12-15 10:30:36 UTC; Administrator

Packaged: 2021-01-06 22:27:59 UTC; Administrator

Packaged: 2021-06-02 11:02:54 UTC; Administrator

Packaged: 2021-10-14 15:07:17 UTC; Administrator

Authors@R: c(person("Ivan", "Tomic", role=c("aut","cre","cph"), email="info@ivantomic.com", comment = c(ORCID = "0000-0003-3596-681X")),
person("Adriana", "Tomic", role=c("aut","ctb"), email="atomic@stanford.edu", comment = c(ORCID = "0000-0001-9885-3535")))
Author: Ivan Tomic [aut, cre, cph] (<https://orcid.org/0000-0003-3596-681X>),
Adriana Tomic [aut, ctb] (<https://orcid.org/0000-0001-9885-3535>)
Description: Computes efficient data distributions from highly inconsistent datasets with many missing values using multi-set intersections. Based upon hash functions, 'mulset' can quickly identify intersections from very large matrices of input vectors across columns and rows and thus provides scalable solution for dealing with missing values. Tomic et al. (2019) <doi:10.1101/545186>.

Title: Multivariate Version of the Diebold-Mariano Test
Description: Allows to perform the multivariate version of the Diebold-Mariano test for equal predictive ability of multiple forecast comparison. Main reference: Mariano, R.S., Preve, D. (2012) <doi:10.1016/j.jeconom.2012.01.014>.

Title: Provides Test Functions for Multivariate Integration
Description: Provides implementations of functions that can be used to test multivariate integration routines. The package covers five different integration domains (unit hypercube, unit ball, unit sphere, standard simplex and R^n). For each domain several functions with different properties (smooth, non-differentiable, ...) are available. The functions are available in all dimensions n >= 1. For each function the exact value of the integral is known and implemented to allow testing the accuracy of multivariate integration routines. Details on the available test functions can be found at on the development website.
Collate: 'AllGeneric.R' 'Rn_Gauss.R' 'Rn_floorNorm.R' 'domainChecks.R'