Function reference • NetOrigin

All functions
`aggr_data()`	convert individual event information to aggregated information per network node
`analyze_ptn()`	analyze public transportation network characteristics
`compute_mu_lambda()`	Compute Mu and Lambda for Source Detection Function
`delay-data`	Delay propagation data examples simulated by LinTim software
`eff_dist()` `eff_dijkstra()` `spd_dijkstra()`	Computation of effective path distance
`initial_condition_sib_model()`	Provide Initial Condition for Function SIB_SS
`NetOrigin`	Origin Estimation for Propagation Processes on Complex Networks
`print(<origin>)` `summary(<origin>)` `plot(<origin>)` `performance(<origin>)`	methods for origin estimation objects of class `origin`
`origin()` `origin_edm()` `origin_backtracking()` `origin_centrality()` `origin_bayesian()`	Origin Estimation for Propagation Processes on Complex Networks
`origin_multiple()`	Multiple origin estimation using community partitioning
`performance()`	generic method for performance evaluation
`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 (Integrated Optimization in Public Transportation)
`read_DB_data()`	Reads a data file as provided by 'Deutsche Bahn' (for internal use).
`print(<robustness>)` `summary(<robustness>)` `plot(<robustness>)`	methods for robustness estimation objects of class `robustness`
`robustness()`	run robustness analysis for a source estimate by subsampling individual events.
`stochastic_sib_model()`	Stochastic SIB model for infected cases simulation
`var_wtd_mean_cochran()`	Computes the variance of a weighted mean following the definition by Cochran (1977; see Gatz and Smith, 1995)

Reference

All functions