Package: NetOrigin
Title: Origin Estimation for Propagation Processes on Complex Networks
Description: Performs network-based source estimation. Different approaches are available: effective distance median (Manitz et al., 2014; <doi:10.1371/currents.outbreaks.f3fdeb08c5b9de7c09ed9cbcef5f01f2>), recursive backtracking (Manitz et al., 2016; <doi:10.1111/rssc.12176>), and centrality-based source estimation (Li et al., 2021; <doi:10.1371/journal.pcbi.1008545>). Additionally, we provide public transportation network data as well as methods for data preparation, source estimation performance analysis and visualization.
Version: 1.1-4
Authors@R: c(person("Juliane", "Manitz", email="r@manitz.org", role=c("aut", "cre")), person("Jonas", "Harbering", email="", role=c("ctb")), person("Jun", "Li", email="", role=c("ctb")))
Depends: R (>= 3.2.2)
Imports: igraph, Hmisc, colorspace, mvtnorm, corpcor, plyr
License: GPL-3
LazyData: true
RoxygenNote: 7.1.2
Collate: '0_helper_net.r' 'NetOrigin.r' 'compute_mu_lambda.R'
        'origin_helper.r' 'origin_methods.r' 'distance.r' 'data.r'
        'data_handling.r' 'initial_condition_sib_model.R'
        'robustness.r' 'stochastic_sib_model.R'
NeedsCompilation: no
Packaged: 2022-01-19 22:43:35 UTC; M254773
Author: Juliane Manitz [aut, cre],
  Jonas Harbering [ctb],
  Jun Li [ctb]
Maintainer: Juliane Manitz <r@manitz.org>
Repository: CRAN
URL: https://netorigin.manitz.org/
BugReports: https://github.com/jmanitz/NetOrigin/issues
Date/Publication: 2022-01-20 08:32:42 UTC
Built: R 4.0.5; ; 2022-01-25 06:20:17 UTC; unix
