Package: PAGE 0.4.0
PAGE: Predictor-Assisted Graphical Models under Error-in-Variables
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:
PAGE_0.4.0.tar.gz
PAGE_0.4.0.zip(r-4.7)PAGE_0.4.0.zip(r-4.6)PAGE_0.4.0.zip(r-4.5)
PAGE_0.4.0.tgz(r-4.6-x86_64)PAGE_0.4.0.tgz(r-4.6-arm64)PAGE_0.4.0.tgz(r-4.5-x86_64)PAGE_0.4.0.tgz(r-4.5-arm64)
PAGE_0.4.0.tar.gz(r-4.7-arm64)PAGE_0.4.0.tar.gz(r-4.7-x86_64)PAGE_0.4.0.tar.gz(r-4.6-arm64)PAGE_0.4.0.tar.gz(r-4.6-x86_64)
PAGE_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
PAGE/json (API)
| # Install 'PAGE' in R: |
| install.packages('PAGE', repos = c('https://jessica306a.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:5b082eb8e9. Checks:11 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 141 | ||
| linux-devel-x86_64 | NOTE | 142 | ||
| source / vignettes | OK | 177 | ||
| linux-release-arm64 | NOTE | 126 | ||
| linux-release-x86_64 | NOTE | 139 | ||
| macos-release-arm64 | NOTE | 175 | ||
| macos-release-x86_64 | NOTE | 335 | ||
| macos-oldrel-arm64 | NOTE | 158 | ||
| macos-oldrel-x86_64 | NOTE | 415 | ||
| windows-devel | NOTE | 84 | ||
| windows-release | NOTE | 83 | ||
| windows-oldrel | NOTE | 79 | ||
| wasm-release | OK | 126 |
Exports:Cond_GaussianJoint_GaussianNP_Graph
Dependencies:bitbit64blobbootcachemcaretclasscliclockcodacodetoolscpp11crayondata.tableDBIdiagramdigestdplyre1071energyfarverfastmapforcatsforeachfuturefuture.applygenericsGGallyggplot2ggppggstatsglassoglobalsgluegowergridExtragslgtablehardhathmsipredisobanditeratorsKernSmoothlabelinglarslatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemetricaminervaModelMetricsnetworknlmennetnumDerivparallellypatchworkpillarpkgconfigplyrpolynomprettyunitspROCprodlimprogressprogressrproxypurrrR6randomForestRColorBrewerRcppRcppArmadillorecipesreshape2rlangrpartRSQLiteS7scalesshapesparsevctrsSQUAREMstatnet.commonstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithrxtszoo
