Graph-Constrained Estimation and Hypothesis Tests
Use the graph-constrained estimation (Grace) procedure to estimate graph-guided linear regression coefficients and use the Grace/GraceI/GraceR tests to perform graph-guided hypothesis tests on the association between the response and the predictors.

Use the graph-constrained estimation (Grace) procedure (Zhao and Shojaie, 2016 <doi:10.1111/biom.12418>) to estimate graph-guided linear regression coefficients and use the Grace/GraceI/GraceR tests to perform graph-guided hypothesis tests on the association between the response and the predictors.

Numerical integration with Gram polynomials (based on <arXiv:2106.14875> [math.NA] 28 Jun 2021, by Irfan Muhammad [School of Computer Science, University of Birmingham, UK]).
c(
person("Iago", "Giné-Vázquez", role = c("aut", "cre", "trl"),
email = "iago.gin-vaz@protonmail.com",
comment = c(ORCID = "0000-0002-6725-2638")),
person("Irfan", "Muhammad", role = "aut"))
Iago Giné-Vázquez [aut, cre, trl]
(<https://orcid.org/0000-0002-6725-2638>),
Irfan Muhammad [aut]

Graphical Representation and Modeling of Metagenomic Reads
Deepak N. Ayyala, Shili Lin, Department of Statistics, The Ohio State University, Columbus, Ohio, USA.
Represents metagenomic samples on the Euclidean space to examine similarity amongst samples by studying clusters in the model. Given the matrix of metagenomic counts for samples, this package (1) quantifies dissimilarity between samples using Kendall's tau-distance, (2) constructs multidimensional models of different dimension, and (3) plots the models for visualization and comparison.
gWidgets, RGtk2, gWidgetsRGtk2, MASS, cluster, rgl, GUniFrac,
ape

c(person("Deepak Nag", "Ayyala", role = c("aut", "cre"),
email = "deepaknagayyala@gmail.com"),
person("Shili", "Lin", role = "aut"))
Deepak Nag Ayyala [aut, cre],
Shili Lin [aut]

Network Topology of Intravariable Clusters with Intervariable
Links
A Network Implementation of Fuzzy Sets: Build Network Objects from Multivariate Flat Files. For more information on fuzzy sets, refer to: Zadeh, L.A. (1964) <DOI:10.1016/S0019-9958(65)90241-X>.
2016-10-16 07:32:22 UTC; Engineering Broker