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PAGE  

Predictor-Assisted Graphical Models under Error-in-Variables
View on CRAN: Click here


Download and install PAGE package within the R console
Install from CRAN:
install.packages("PAGE")

Install from Github:
library("remotes")
install_github("cran/PAGE")

Install by package version:
library("remotes")
install_version("PAGE", "0.4.0")



Attach the package and use:
library("PAGE")
Maintained by
Wan-Yi Chang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-21
Latest Update: 2025-07-30
Description:
We consider the network structure detection for variables Y with auxiliary variables X accommodated, which are possibly subject to measurement error. The following three functions are designed to address various structures by different methods : one is NP_Graph() that is used for handling the nonlinear relationship between the responses and the covariates,another is Joint_Gaussian() that is used for correction in linear regression models via the Gaussian maximum likelihood, and the other Cond_Gaussian() is for linear regression models via conditional likelihood function.
How to cite:
Wan-Yi Chang (2025). PAGE: Predictor-Assisted Graphical Models under Error-in-Variables. R package version 0.4.0, https://cran.r-project.org/web/packages/PAGE. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:15), 0.1.0 (2025-07-21 10:42), 0.2.0 (2025-07-29 18:00), 0.3.0 (2025-07-30 13:40)
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Functions, R codes and Examples using the PAGE R package
Full PAGE package functions and examples
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