PAFit-package |
A statistical sound method for joint estimation of the attachment function and node fitness in a temporal complex network by maximizing a suitable penalized log-likelihood function |
calculate_error_fitness |
A statistical sound method for joint estimation of the attachment function and node fitness in a temporal complex network by maximizing a suitable penalized log-likelihood function |
calculate_error_PA |
A statistical sound method for joint estimation of the attachment function and node fitness in a temporal complex network by maximizing a suitable penalized log-likelihood function |
CreateDataCV |
A function to create cross-validation data. |
FitMultinomial |
A statistical sound method for joint estimation of the attachment function and node fitness in a temporal complex network by maximizing a suitable penalized log-likelihood function |
GenerateNet |
A function to generate simulated networks from the General Temporal (GT) model |
GetStatistics |
A function to summarize input data into sufficient statistics for estimating the attachment function and node fitness |
PAFit |
A function to estimate the attachment function and node fitness in temporal complex networks |
performCV |
A function to perform cross validation. |
plot.PAFit |
A function to plot the estimated attachment function and node fitness |
print.PAFit |
A function to print a PAFit object |
print.PAFitData |
A function to print a PAFitData object |
summary.PAFit |
A function to summarize a PAFit object |
summary.PAFitData |
A function to summarize a PAFitData object |