NetOrigin: Origin Estimation for Propagation Processes on Complex Networks
Version 1.0-2

Performs network-based source estimation. Different approaches are available: effective distance median, recursive backtracking, and centrality-based source estimation. Additionally, we provide public transportation network data as well as methods for data preparation, source estimation performance analysis and visualization.

AuthorJuliane Manitz [aut, cre], Jonas Harbering [ctb]
Date of publication2016-07-07 07:39:10
MaintainerJuliane Manitz <r@manitz.org>
LicenseGPL-3
Version1.0-2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("NetOrigin")

Popular man pages

analyze_ptn: analyze public transportation network characteristics
NetOrigin: Origin Estimation for Propagation Processes on Complex...
performance: generic method for performance evaluation
plot: generic method for plots
plot_ptn: A plot method for public transportation networks (PTNs).
ptn-data: Public transportation network datasets from LinTim software...
robustness-methods: methods for robustness estimation objects of class...
See all...

All man pages Function index File listing

Man pages

aggr_data: convert individual event information to aggregated...
analyze_ptn: analyze public transportation network characteristics
delay-data: Delay propagation data examples simulated by LinTim software
eff_dist: Computation of effective path distance
NetOrigin: Origin Estimation for Propagation Processes on Complex...
origin: Origin Estimation for Propagation Processes on Complex...
origin-methods: methods for origin estimation objects of class 'origin'
origin_multiple: Multiple origin estimation using community partitioning
performance: generic method for performance evaluation
plot: generic method for plots
plot_performance: A plot method combining a time series of performance results.
plot_ptn: A plot method for public transportation networks (PTNs).
ptn-data: Public transportation network datasets from LinTim software...
read_DB_data: Reads a data file as provided by 'Deutsche Bahn' (for...
robustness: run robustness analysis for a source estimate by subsampling...
robustness-methods: methods for robustness estimation objects of class...
var_wtd_mean_cochran: Computes the variance of a weighted mean following the...

Functions

NetOrigin Man page
NetOrigin-package Man page
aggr_data Man page Source code
analyze_ptn Man page Source code
delay-data Man page
delayAth Man page
delayGoe Man page
eff_dijkstra Man page Source code
eff_dist Man page Source code
origin Man page Source code Source code
origin-methods Man page
origin_backtracking Man page Source code
origin_centrality Man page Source code
origin_edm Man page Source code
origin_multiple Man page Source code Source code
performance Man page Source code
performance.origin Man page Source code
plot Man page Source code
plot.origin Man page Source code
plot.robustness Man page Source code
plot_performance Man page Source code
plot_ptn Man page Source code
print.origin Man page Source code
print.robustness Man page Source code
ptn-data Man page
ptnAth Man page
ptnGoe Man page
read_DB_data Man page Source code
robustness Man page Source code Source code
robustness-methods Man page
spd_dijkstra Man page Source code
summary.origin Man page Source code
summary.robustness Man page Source code
var_wtd_mean_cochran Man page Source code

Files

NAMESPACE
data
data/ptnAth.rda
data/delayGoe.rda
data/ptnGoe.rda
data/delayAth.rda
R
R/0_helper_net.r
R/data_handling.r
R/origin_methods.r
R/robustness.r
R/distance.r
R/data.r
R/origin_helper.r
R/NetOrigin.r
MD5
DESCRIPTION
man
man/plot_ptn.Rd
man/origin.Rd
man/delay-data.Rd
man/read_DB_data.Rd
man/analyze_ptn.Rd
man/performance.Rd
man/robustness-methods.Rd
man/origin_multiple.Rd
man/ptn-data.Rd
man/robustness.Rd
man/var_wtd_mean_cochran.Rd
man/plot_performance.Rd
man/eff_dist.Rd
man/NetOrigin.Rd
man/plot.Rd
man/aggr_data.Rd
man/origin-methods.Rd
NetOrigin documentation built on May 19, 2017, 10:10 a.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.