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PAFit
View on CRAN: Click
here
Download and install PAFit package within the R console
Install from CRAN:
install.packages("PAFit")
Install from Github:
library("remotes")
install_github("cran/PAFit")
Install by package version:
library("remotes")
install_version("PAFit", "1.2.10")
Attach the package and use:
library("PAFit")
Maintained by
Thong Pham
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.PAFit . https://github.com/thongphamthe/PAFit/issues . https://github.com/thongphamthe/PAFit . PAFit citation info . PAFit results . PAFit.pdf . PAFit: an R Package for the Non-Parametric Estimation of Preferential Attachment and Node Fitness in Temporal Complex Networks . PAFit_1.2.10.tar.gz . PAFit_1.2.10.zip . PAFit_1.2.10.zip . PAFit_1.2.10.zip . PAFit_1.2.10.tgz . PAFit_1.2.10.tgz . PAFit_1.2.10.tgz . PAFit_1.2.10.tgz . PAFit_1.2.10.tgz . PAFit_1.2.10.tgz . PAFit archive . https://CRAN.R-project.org/package=PAFit .
First Published: 2015-03-27
Latest Update: 2023-11-28
Description:
Statistical methods for estimating preferential attachment and node fitness generative mechanisms in temporal complex networks are provided. Thong Pham et al. (2015) . Thong Pham et al. (2016) . Thong Pham et al. (2020) . Thong Pham et al. (2021) .
How to cite:
Thong Pham (2015). PAFit: Generative Mechanism Estimation in Temporal Complex Networks. R package version 1.2.10, https://cran.r-project.org/web/packages/PAFit. Accessed 31 Mar. 2025.
Previous versions and publish date:
0.7.2 (2015-03-27 08:31), 0.7.5 (2015-09-18 09:13), 0.7.9 (2016-07-05 11:01), 0.8.6 (2016-09-07 23:37), 0.8.7 (2016-10-18 10:20), 0.9.3 (2017-01-20 14:38), 0.9.5 (2017-01-31 08:14), 0.9.6 (2017-02-01 16:12), 0.9.8.2 (2017-03-10 11:49), 0.9.8.3 (2017-03-13 11:46), 0.9.8.8 (2017-04-18 01:01), 0.9.9.0 (2017-04-19 02:00), 1.0.0.0 (2017-06-15 01:29), 1.0.0.1 (2017-06-30 19:29), 1.0.0.3 (2018-02-05 23:58), 1.0.0.4 (2018-04-25 10:18), 1.0.0.6 (2018-08-28 16:04), 1.0.0.7 (2018-09-19 09:30), 1.0.1.2 (2019-04-11 11:55), 1.0.1.4 (2019-09-24 07:30), 1.0.1.5 (2019-12-20 10:30), 1.0.1.6 (2020-01-09 06:40), 1.0.1.7 (2020-02-07 07:50), 1.0.1.8 (2020-02-17 19:00), 1.1.0.2 (2021-05-17 23:50), 1.1.0.4 (2021-07-22 17:30), 1.1 (2021-05-13 01:02), 1.2.1 (2021-10-30 00:00), 1.2.4 (2021-12-22 09:52), 1.2.5 (2022-01-11 11:02)
Other packages that cited PAFit R package
View PAFit citation profile
Other R packages that PAFit depends,
imports, suggests or enhances
Complete documentation for PAFit
Functions, R codes and Examples using
the PAFit R package
Some associated functions: PAFit-package . generate_net . get_statistics . plot.Full_PAFit_result . plot.PAFit_net . print.Full_PAFit_result . summary.Full_PAFit_result .
Some associated R codes: CreateDataCV.R . CreateDataCV_onlyA.R . Jeong.R . Newman.R . OnlyA_CV.R . OnlyF_CV.R . PAFit.R . PAFit_oneshot.R . RcppExports.R . as.PAFit_net.R . binning.R . estimate_multiple_phase_correct_mcPAMLE.R . estimate_new_correct_mcPAMLE.R . estimate_single_phase_correct_mcPAMLE.R . from_igraph.R . from_networkDynamic.R . generate_BA.R . generate_BB.R . generate_ER.R . generate_fit_only.R . generate_net.R . generate_simulation.R . get_statistics.R . graph_from_file.R . graph_to_file.R . joint_estimate.R . one_cycle.R . only_A_estimate.R . only_F_estimate.R . performCV_core_new_new.R . performCV_old_new.R . perform_CV_core.R . plot.Full_PAFit_result.R . plot.PAFit_net.R . plot.pa_result.R . plot_contribution.R . print.CV_Result.R . print.Linear_PA_test_result.R . print.PAFit_net.R . print.cv_data.R . print.full_pafit_result.R . print.pa_result.R . regress_alpha.R . summary.CV_Result.R . summary.Linear_PA_test_result.R . summary.PAFit_net.R . summary.cv_data.R . summary.full_pafit_result.R . summary.pa_result.R . test_linear_PA.R . to_igraph.R . to_networkDynamic.R . Full PAFit package functions and examples
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