PAFit: Generative Mechanism Estimation in Temporal Complex Networks
Version 0.9.9.0

Statistical methods for estimating preferential attachment and node fitness generative mechanisms in temporal complex networks are provided.

AuthorThong Pham, Paul Sheridan, Hidetoshi Shimodaira
Date of publication2017-04-19 00:00:08 UTC
MaintainerThong Pham <thongpham@thongpham.net>
LicenseGPL-3
Version0.9.9.0
URL https://github.com/thongphamthe/PAFit
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("PAFit")

Getting started

Package overview

Popular man pages

generate_ER: Simulating networks from the Erdos-Renyi model
generate_fit_only: Simulating networks from the Caldarelli model
generate_net: Simulating networks from preferential attachment and fitness...
get_statistics: Getting summarized statistics from input data
joint_estimate: Joint inference of attachment function and node fitnesses
only_F_estimate: Estimating node fitnesses in isolation
PAFit-package: Generative Mechanism Estimation in Temporal Complex Networks
See all...

All man pages Function index File listing

Man pages

ComplexNetCoauthor: A collaboration network between authors of papers in the...
generate_BA: Simulating networks from the generalized Barabasi-Albert...
generate_BB: Simulating networks from the Bianconi-Barabasi model
generate_ER: Simulating networks from the Erdos-Renyi model
generate_fit_only: Simulating networks from the Caldarelli model
generate_net: Simulating networks from preferential attachment and fitness...
get_statistics: Getting summarized statistics from input data
Jeong: Jeong's method for estimating the preferential attachment...
joint_estimate: Joint inference of attachment function and node fitnesses
Newman: Corrected Newman's method for estimating the preferential...
only_A_estimate: Estimating the attachment function in isolation by PAFit...
only_F_estimate: Estimating node fitnesses in isolation
PAFit-package: Generative Mechanism Estimation in Temporal Complex Networks
plot.Full_PAFit_result: Plotting the estimated attachment function and node fitness
plot.PA_result: Plotting the estimated attachment function

Functions

ComplexNetCoauthor.rda Man page
CreateDataCV Source code
CreateDataCV_new Source code
CreateDataCV_onlyA Source code
Jeong Man page Source code
Newman Man page Source code
OnlyA_CV Source code
OnlyF_CV Source code
PAFit Man page Source code
PAFit-package Man page
PAFit_data Man page
cal_var_f Source code
cal_var_f_new Source code
coauthor.author_id Man page
coauthor.net Man page
coauthor.truetime Man page
coeff_theta Source code
coeff_var Source code
generate_BA Man page Source code
generate_BB Man page Source code
generate_ER Man page Source code
generate_fit_only Man page Source code
generate_net Man page Source code
get_statistics Man page Source code
get_stats Source code
joint_estimate Man page Source code
normalized_constant Source code
normalized_constant_alpha Source code
onUnload Source code
only_A_estimate Man page Source code
only_F_estimate Man page Source code
performCV_core Source code
performCV_old Source code
plot.Full_PAFit_result Man page Source code
plot.PAFit_result Man page Source code
plot.PA_result Man page Source code
print.CV_Data Man page Source code
print.CV_Result Man page Source code
print.Full_PAFit_result Source code
print.PAFit_data Man page Source code
print.PAFit_result Man page Source code
print.PA_result Man page Source code
summary.CV_Data Man page Source code
summary.CV_Result Man page Source code
summary.Full_PAFit_result Source code
summary.PAFit_data Man page Source code
summary.PAFit_result Man page Source code
summary.PA_result Man page Source code
update_alpha_fast Source code
update_f Source code
update_f_alpha Source code
update_f_alpha_new Source code
update_f_new Source code
update_offset Source code
var_alpha Source code

Files

inst
inst/CITATION
inst/NEWS.Rd
inst/doc
inst/doc/Tutorial.pdf.asis
inst/doc/Tutorial.pdf
tests
tests/test_Newman_Kong.R
tests/test_variance_s.R
tests/test_overall.R
tests/test_GetStatistics_compress_2.R
tests/test_GenerateNet_final_padding.R
tests/loop_generate.R
tests/loop_overall.R
tests/loop_test_Newman_Kong.R
tests/test_true_f.R
tests/loop_joint_estimate.R
tests/test_joint_estimate.R
tests/test_GetStatistics_undirected.R
src
src/Makevars
src/Cpp_code.cpp
src/Makevars.win
src/init.c
src/RcppExports.cpp
NAMESPACE
data
data/ComplexNetCoauthor.rda
R
R/perform_CV_core.R
R/plot.pafit_result.r
R/generate_net.R
R/CreateDataCV.R
R/plot.Full_PAFit_result.R
R/generate_BA.R
R/generate_fit_only.R
R/generate_ER.R
R/summary.pafit_data.r
R/summary.pa_result.R
R/summary.full_pafit_result.R
R/plot.pa_result.R
R/generate_BB.R
R/performCV_old.R
R/print.CV_Result.R
R/print.pafit_result.r
R/only_A_estimate.R
R/print.pa_result.R
R/PAFit.R
R/RcppExports.R
R/print.full_pafit_result.R
R/summary.CV_Result.R
R/joint_estimate.R
R/OnlyF_CV.R
R/Jeong.R
R/CreateDataCV_new.R
R/OnlyA_CV.R
R/CreateDataCV_onlyA.R
R/summary.cv_data.R
R/print.pafit_data.r
R/print.cv_data.R
R/Newman.R
R/summary.pafit_result.r
R/get_statistics.R
R/only_F_estimate.R
vignettes
vignettes/Tutorial.pdf.asis
MD5
build
build/vignette.rds
DESCRIPTION
man
man/generate_fit_only.rd
man/generate_net.Rd
man/get_statistics.Rd
man/joint_estimate.rd
man/generate_BA.rd
man/plot.PA_result.rd
man/Jeong.rd
man/Newman.rd
man/plot.Full_PAFit_result.Rd
man/only_F_estimate.rd
man/only_A_estimate.rd
man/generate_ER.rd
man/generate_BB.rd
man/ComplexNetCoauthor.rd
man/PAFit-package.Rd
PAFit documentation built on May 19, 2017, 5:33 p.m.

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