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covdepGE
View on CRAN: Click
here
Download and install covdepGE package within the R console
Install from CRAN:
install.packages("covdepGE")
Install from Github:
library("remotes")
install_github("cran/covdepGE")
Install by package version:
library("remotes")
install_version("covdepGE", "1.0.1")
Attach the package and use:
library("covdepGE")
Maintained by
Jacob Helwig
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-24
Latest Update: 2022-09-16
Description:
A covariate-dependent approach to Gaussian graphical modeling as described in Dasgupta et al. (2022). Employs a novel weighted pseudo-likelihood approach to model the conditional dependence structure of data as a continuous function of an extraneous covariate. The main function, covdepGE::covdepGE(), estimates a graphical representation of the conditional dependence structure via a block mean-field variational approximation, while several auxiliary functions (inclusionCurve(), matViz(), and plot.covdepGE()) are included for visualizing the resulting estimates.
How to cite:
Jacob Helwig (2022). covdepGE: Covariate Dependent Graph Estimation. R package version 1.0.1, https://cran.r-project.org/web/packages/covdepGE. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2022-08-24 10:22)
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Other R packages that covdepGE depends,
imports, suggests or enhances
Complete documentation for covdepGE
Functions, R codes and Examples using
the covdepGE R package
Some associated functions: covdepGE-package . covdepGE . generateData . inclusionCurve . matViz . plot.covdepGE .
Some associated R codes: RcppExports.R . cavi.R . covdepGE_package.R . data.R . main.R . plots.R . weights.R . Full covdepGE package functions and examples
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