Package: NetworkReg 1.1
NetworkReg: Regression Model on Network-Linked Data with Statistical Inference
Linear regression model with nonparametric network effects on network-linked observations. The model is proposed by Le and Li (2022) <arxiv:2007.00803> and is assumed on observations that are connected by a network or similar relational data structure. The model does not assume that the relational data or network structure to be precisely observed; thus, the method is provably robust to a certain level of perturbation of the network structure. The package contains the estimation and inference function for the model.
Authors:
NetworkReg_1.1.tar.gz
NetworkReg_1.1.zip(r-4.5)NetworkReg_1.1.zip(r-4.4)NetworkReg_1.1.zip(r-4.3)
NetworkReg_1.1.tgz(r-4.4-any)NetworkReg_1.1.tgz(r-4.3-any)
NetworkReg_1.1.tar.gz(r-4.5-noble)NetworkReg_1.1.tar.gz(r-4.4-noble)
NetworkReg_1.1.tgz(r-4.4-emscripten)NetworkReg_1.1.tgz(r-4.3-emscripten)
NetworkReg.pdf |NetworkReg.html✨
NetworkReg/json (API)
# Install 'NetworkReg' in R: |
install.packages('NetworkReg', repos = c('https://tianxili.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 7 months agofrom:89a9b59e64. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 06 2024 |
R-4.5-win | OK | Sep 06 2024 |
R-4.5-linux | OK | Sep 06 2024 |
R-4.4-win | OK | Sep 06 2024 |
R-4.4-mac | OK | Sep 06 2024 |
R-4.3-win | OK | Sep 06 2024 |
R-4.3-mac | OK | Sep 06 2024 |
Exports:net.gen.from.PSP.Inf
Dependencies:abindashAUCbitopsbootcliclustercolorspacedata.tabledeSolveentropyfansifarverfdafdsFNNgamm4ggplot2gluegrpreggtablehdrcdeirlbaisobandkernlabKernSmoothkslabelinglatticelifecyclelme4locfitmagicmagrittrMASSMatrixmclustmgcvminqamulticoolmunsellmvtnormnlmenloptrnnlspbspcaPPpillarpkgconfigpoweRlawpracmaR6rainbowrandnetRColorBrewerRcppRcppEigenRCurlrefundrlangRLRsimRSpectrascalessparseFLMMtibbleutf8vctrsviridisLitewithr