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stocnet
RSiena:Siena - Simulation Investigation for Empirical Network Analysis
The main purpose of this package is to perform simulation-based estimation of stochastic actor-oriented models for longitudinal network data collected as panel data. Dependent variables can be single or multivariate networks, which can be directed, non-directed, or two-mode; and associated actor variables. There are also functions for testing parameters and checking goodness of fit. An overview of these models is given in Snijders (2017), <doi:10.1146/annurev-statistics-060116-054035>.
Maintained by Tom A.B. Snijders. Last updated 2 months ago.
longitudinal-datarsienasocial-network-analysisstatistical-network-analysisstatisticscpp
107 stars 9.93 score 346 scripts 1 dependents
brry
berryFunctions:Function Collection Related to Plotting and Hydrology
Draw horizontal histograms, color scattered points by 3rd dimension, enhance date- and log-axis plots, zoom in X11 graphics, trace errors and warnings, use the unit hydrograph in a linear storage cascade, convert lists to data.frames and arrays, fit multiple functions.
Maintained by Berry Boessenkool. Last updated 2 months ago.
13 stars 9.43 score 350 scripts 16 dependents