egor | Import and Analyse Ego-Centered Network Data Till Krenz , Pavel N. Krivitsky , Raffaele Vacca , Michal Bojanowski , Markus Gamper , Andreas Herz , Christopher McCarty |
ergm | Fit, Simulate and Diagnose Exponential-Family Models for Networks Mark S. Handcock , David R. Hunter , Carter T. Butts , Steven M. Goodreau , Pavel N. Krivitsky , Martina Morris , Li Wang , Kirk Li , Skye Bender-deMoll , Chad Klumb , Michał Bojanowski , Ben Bolker , Christian Schmid , Joyce Cheng , Arya Karami |
ergm.count | Fit, Simulate and Diagnose Exponential-Family Models for Networks with Count Edges Pavel N. Krivitsky , Mark S. Handcock , David R. Hunter , Joyce Cheng |
ergm.ego | Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data Pavel N. Krivitsky , Steven M. Goodreau , Martina Morris , Kirk Li , Emily N. Beylerian , Michał Bojanowski , Chad Klumb |
ergm.multi | Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networks Pavel N. Krivitsky , Mark S. Handcock , David R. Hunter , Chad Klumb , Pietro Coletti , Joyce Cheng |
ergm.rank | Fit, Simulate and Diagnose Exponential-Family Models for Rank-Order Relational Data Pavel N. Krivitsky , Carter T. Butts , Mark S. Handcock , David R. Hunter |
knitr | A General-Purpose Package for Dynamic Report Generation in R Yihui Xie , Abhraneel Sarma , Adam Vogt , Alastair Andrew , Alex Zvoleff , Amar Al-Zubaidi , Andre Simon , Aron Atkins , Aaron Wolen , Ashley Manton , Atsushi Yasumoto , Ben Baumer , Brian Diggs , Brian Zhang , Bulat Yapparov , Cassio Pereira , Christophe Dervieux , David Hall , David Hugh-Jones , David Robinson , Doug Hemken , Duncan Murdoch , Elio Campitelli , Ellis Hughes , Emily Riederer , Fabian Hirschmann , Fitch Simeon , Forest Fang , Frank E Harrell Jr , Garrick Aden-Buie , Gregoire Detrez , Hadley Wickham , Hao Zhu , Heewon Jeon , Henrik Bengtsson , Hiroaki Yutani , Ian Lyttle , Hodges Daniel , Jacob Bien , Jake Burkhead , James Manton , Jared Lander , Jason Punyon , Javier Luraschi , Jeff Arnold , Jenny Bryan , Jeremy Ashkenas , Jeremy Stephens , Jim Hester , Joe Cheng , Johannes Ranke , John Honaker , John Muschelli , Jonathan Keane , JJ Allaire , Johan Toloe , Jonathan Sidi , Joseph Larmarange , Julien Barnier , Kaiyin Zhong , Kamil Slowikowski , Karl Forner , Kevin K. Smith , Kirill Mueller , Kohske Takahashi , Lorenz Walthert , Lucas Gallindo , Marius Hofert , Martin Modrák , Michael Chirico , Michael Friendly , Michal Bojanowski , Michel Kuhlmann , Miller Patrick , Nacho Caballero , Nick Salkowski , Niels Richard Hansen , Noam Ross , Obada Mahdi , Pavel N. Krivitsky , Pedro Faria , Qiang Li , Ramnath Vaidyanathan , Richard Cotton , Robert Krzyzanowski , Rodrigo Copetti , Romain Francois , Ruaridh Williamson , Sagiru Mati , Scott Kostyshak , Sebastian Meyer , Sietse Brouwer , Simon de Bernard , Sylvain Rousseau , Taiyun Wei , Thibaut Assus , Thibaut Lamadon , Thomas Leeper , Tim Mastny , Tom Torsney-Weir , Trevor Davis , Viktoras Veitas , Weicheng Zhu , Wush Wu , Zachary Foster , Zhian N. Kamvar , Posit Software , PBC |
latentnet | Latent Position and Cluster Models for Statistical Networks Pavel N. Krivitsky , Mark S. Handcock , Susan M. Shortreed , Jeremy Tantrum , Peter D. Hoff , Li Wang , Kirk Li , Jake Fisher , Jordan T. Bates |
lme4 | Linear Mixed-Effects Models using 'Eigen' and S4 Douglas Bates , Martin Maechler , Ben Bolker , Steven Walker , Rune Haubo Bojesen Christensen , Henrik Singmann , Bin Dai , Fabian Scheipl , Gabor Grothendieck , Peter Green , John Fox , Alexander Bauer , Pavel N. Krivitsky , Emi Tanaka , Mikael Jagan |
network | Classes for Relational Data Carter T. Butts , David Hunter , Mark Handcock , Skye Bender-deMoll , Jeffrey Horner , Li Wang , Pavel N. Krivitsky , Brendan Knapp , Michał Bojanowski , Chad Klumb |
networkDynamic | Dynamic Extensions for Network Objects Carter T. Butts , Ayn Leslie-Cook , Pavel N. Krivitsky , Skye Bender-deMoll , Zack Almquist , David R. Hunter , Li Wang , Kirk Li , Steven M. Goodreau , Jeffrey Horner , Martina Morris |
rle | Common Functions for Run-Length Encoded Vectors Pavel N. Krivitsky |
srvyr | 'dplyr'-Like Syntax for Summary Statistics of Survey Data Greg Freedman Ellis , Thomas Lumley , Tomasz Żółtak , Ben Schneider , Pavel N. Krivitsky |
statnet | Software Tools for the Statistical Analysis of Network Data Mark S. Handcock , David R. Hunter , Carter T. Butts , Steven M. Goodreau , Pavel N. Krivitsky , Skye Bender-deMoll , Martina Morris |
statnet.common | Common R Scripts and Utilities Used by the Statnet Project Software Pavel N. Krivitsky , Skye Bender-deMoll , Chad Klumb |
tergm | Fit, Simulate and Diagnose Models for Network Evolution Based on Exponential-Family Random Graph Models Pavel N. Krivitsky , Mark S. Handcock , David R. Hunter , Steven M. Goodreau , Martina Morris , Nicole Bohme Carnegie , Carter T. Butts , Ayn Leslie-Cook , Skye Bender-deMoll , Li Wang , Kirk Li , Chad Klumb |