# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "PAGE" in publications use:' type: software license: GPL-3.0-only title: 'PAGE: Predictor-Assisted Graphical Models under Error-in-Variables' version: 0.4.0 doi: 10.32614/CRAN.package.PAGE abstract: '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.' authors: - family-names: Chang given-names: Wan-Yi email: jessica306a@gmail.com - family-names: Chen given-names: Li-Pang email: lchen723@nccu.edu.tw repository: https://jessica306a.r-universe.dev commit: 5b082eb8e90e93303da9d4da25b1588c90059f6b date-released: '2025-08-19' contact: - family-names: Chang given-names: Wan-Yi email: jessica306a@gmail.com