PAFit: Nonparametric Estimation of Preferential Attachment and Node Fitness in Temporal Complex Networks

A statistically sound method for estimating jointly the attachment function and node fitness in a temporal complex network by maximizing a suitable penalized log-likelihood function is implemented in this package. Tutorial can be found in the accompanying vignette. For a list of references, please run the command: citation("PAFit").

AuthorThong Pham, Paul Sheridan, Hidetoshi Shimodaira
Date of publication2016-10-18 10:20:43
MaintainerThong Pham <thongpham@thongpham.net>
LicenseGPL-3
Version0.8.7
http://www.nature.com/articles/srep32558, http://dx.doi.org/10.1371/journal.pone.0137796, http://dx.doi.org/10.1007/978-3-319-29228-1_13

View on CRAN

Files in this package

PAFit
PAFit/inst
PAFit/inst/simdata
PAFit/inst/simdata/true-fitness.txt
PAFit/inst/simdata/data2.txt
PAFit/inst/simdata/data1.txt
PAFit/inst/CITATION
PAFit/inst/doc
PAFit/inst/doc/Tutorial.pdf.asis
PAFit/inst/doc/Tutorial.pdf
PAFit/tests
PAFit/tests/test_log_linear.R
PAFit/tests/tests.R
PAFit/src
PAFit/src/Makevars
PAFit/src/Cpp_code.cpp
PAFit/src/Makevars.win
PAFit/src/RcppExports.cpp
PAFit/NAMESPACE
PAFit/R
PAFit/R/performCV.R
PAFit/R/print.pafitdata.r
PAFit/R/CreateDataCV.R
PAFit/R/print.pafit.r
PAFit/R/summary.pafitdata.r
PAFit/R/FitMultinomial.R PAFit/R/calculate_error_fitness.R
PAFit/R/summary.pafit.r
PAFit/R/PAFit.R PAFit/R/GenerateNet.R PAFit/R/RcppExports.R PAFit/R/GetStatistics.R
PAFit/R/plot.pafit.r
PAFit/R/calculate_error_PA.R
PAFit/vignettes
PAFit/vignettes/Tutorial.pdf.asis
PAFit/MD5
PAFit/build
PAFit/build/vignette.rds
PAFit/DESCRIPTION
PAFit/man
PAFit/man/GetStatistics.Rd PAFit/man/print.PAFit.Rd PAFit/man/PAFit.Rd PAFit/man/performCV.Rd PAFit/man/print.PAFitData.Rd PAFit/man/summary.PAFit.Rd PAFit/man/CreateDataCV.Rd PAFit/man/GenerateNet.Rd PAFit/man/plot.PAFit.Rd PAFit/man/PAFit-package.Rd PAFit/man/summary.PAFitData.Rd

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