CRAN/E | R Packages from Mark S. Handcock

Mark S. Handcock

Author of 15 R packages

Quick info

Mark S. Handcock has worked on 15 packages so far. In total, Mark S. Handcock has worked with 38 other authors on those packages. Impressive teamwork!

Packages overview

RDS
degreenet
ergm
ergm.count
ergm.multi
ergm.rank
glmc
hergm
latentnet
lolog
reldist
rpm
sspse
statnet
tergm

Package details

RDS

Respondent-Driven Sampling

Mark S. Handcock , Krista J. Gile , Ian E. Fellows , W. Whipple Neely

degreenet

Models for Skewed Count Distributions Relevant to Networks

Mark S. Handcock

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.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

glmc

Fitting Generalized Linear Models Subject to Constraints

Sanjay Chaudhuri , Mark S. Handcock , Michael S. Rendall

hergm

Hierarchical Exponential-Family Random Graph Models

Michael Schweinberger , Mark S. Handcock , Sergii Babkin , Jonathan R. Stewart , Duy Q. Vu , Pamela Luna

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

lolog

Latent Order Logistic Graph Models

Ian E. Fellows , Mark S. Handcock

reldist

Relative Distribution Methods

Mark S. Handcock

rpm

Modeling of Revealed Preferences Matchings

Mark S. Handcock , Ryan M. Admiraal , Fiona C. Yeung , Heide M. Jackson , Michael S. Rendall , Shuchi Goyal

sspse

Estimating Hidden Population Size using Respondent Driven Sampling Data

Mark S. Handcock , Krista J. Gile , Brian Kim , Katherine R. McLaughlin

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

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

Colleagues

Krista J. Gile
Ian E. Fellows
W. Whipple Neely
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
Pietro Coletti
Sanjay Chaudhuri
Michael S. Rendall
Michael Schweinberger
Sergii Babkin
Jonathan R. Stewart
Duy Q. Vu
Pamela Luna
Susan M. Shortreed
Jeremy Tantrum
Peter D. Hoff
Jake Fisher
Jordan T. Bates
Ryan M. Admiraal
Fiona C. Yeung
Heide M. Jackson
Shuchi Goyal
Brian Kim
Katherine R. McLaughlin
Nicole Bohme Carnegie
Ayn Leslie-Cook