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lolog
View on CRAN: Click
here
Download and install lolog package within the R console
Install from CRAN:
install.packages("lolog")
Install from Github:
library("remotes")
install_github("cran/lolog")
Install by package version:
library("remotes")
install_version("lolog", "1.3.1")
Attach the package and use:
library("lolog")
Maintained by
Ian E. Fellows
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.lolog . https://github.com/statnet/lolog . lolog results . lolog.pdf . An Example Analysis Using lolog . lolog_1.3.1.tar.gz . lolog_1.3.1.zip . lolog_1.3.1.zip . lolog_1.3.1.zip . lolog_1.3.1.tgz . lolog_1.3.1.tgz . lolog_1.3.1.tgz . lolog_1.3.1.tgz . lolog archive . https://CRAN.R-project.org/package=lolog .
First Published: 2018-10-07
Latest Update: 2023-12-07
Description:
Estimation of Latent Order Logistic (LOLOG) Models for Networks.
LOLOGs are a flexible and fully general class of statistical graph models.
This package provides functions for performing MOM, GMM and variational
inference. Visual diagnostics and goodness of fit metrics are provided.
See Fellows (2018) for a detailed description of the methods.
How to cite:
Ian E. Fellows (2018). lolog: Latent Order Logistic Graph Models. R package version 1.3.1, https://cran.r-project.org/web/packages/lolog. Accessed 09 May. 2025.
Previous versions and publish date:
Other packages that cited lolog R package
View lolog citation profile
Other R packages that lolog depends,
imports, suggests or enhances
Complete documentation for lolog
Functions, R codes and Examples using
the lolog R package
Some associated functions: BinaryNet . LatentOrderLikelihood . LologModels . as.BinaryNet.default . as.BinaryNet . as.network.Rcpp_DirectedNet . as.network.Rcpp_UndirectedNet . as.network . calculateStatistics . call-symbols . coef.lolog . createCppModel . createLatentOrderLikelihood . extract-methods . gofit.lolog . gofit . inlineLologPlugin . lazega . lolog-terms . lolog . lologPackageSkeleton . lologVariational . plot.Rcpp_DirectedNet . plot.Rcpp_UndirectedNet . plot.gofit . plot.lologGmm . print.gofit . print.lolog . print.lologVariationalFit . registerDirectedStatistic . simulate.lolog . summary.lolog . ukFaculty .
Some associated R codes: RcppExports.R . binary-net.R . calculate-statistics.R . cpp-model.R . gofit.R . inline.R . latent-order-likelihood.R . lolog-variational.R . lolog.R . roxygen.R . util.R . zzz.R . Full lolog package functions and examples
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