Package: remstats 3.2.2

Giuseppe Arena

remstats: Computes Statistics for Relational Event History Data

Computes a variety of statistics for relational event models. Relational event models enable researchers to investigate both exogenous and endogenous factors influencing the evolution of a time-ordered sequence of events. These models are categorized into tie-oriented models (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>), where the probability of a dyad interacting next is modeled in a single step, and actor-oriented models (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>), which first model the probability of a sender initiating an interaction and subsequently the probability of the sender's choice of receiver. The package is designed to compute a variety of statistics that summarize exogenous and endogenous influences on the event stream for both types of models.

Authors:Giuseppe Arena [aut, cre], Marlyne Meijerink-Bosman [aut], Diana Karimova [ctb], Rumana Lakdawala [ctb], Mahdi Shafiee Kamalabad [ctb], Fabio Generoso Vieira [ctb], Roger Leenders [ctb], Joris Mulder [ctb]

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remstats.pdf |remstats.html
remstats/json (API)

# Install 'remstats' in R:
install.packages('remstats', repos = c('https://tilburgnetworkgroup.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tilburgnetworkgroup/remstats/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • both_male_long - Exogenous Dyad Attribute in Long Format: both_male_long
  • both_male_wide - Exogenous Dyad Attribute Matrix: both_male_wide
  • history - Simulated relational event history
  • info - Simulated exogenous information on actors in a social network.

On CRAN:

53 exports 7 stars 2.22 score 3 dependencies 1 dependents 43 scripts 834 downloads

Last updated 4 months agofrom:0ad685a097. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-win-x86_64OKSep 12 2024
R-4.5-linux-x86_64OKSep 12 2024
R-4.4-win-x86_64OKSep 12 2024
R-4.4-mac-x86_64OKSep 12 2024
R-4.4-mac-aarch64OKSep 12 2024
R-4.3-win-x86_64OKSep 12 2024
R-4.3-mac-x86_64OKSep 12 2024
R-4.3-mac-aarch64OKSep 12 2024

Exports:actor_effectsaomstatsaveragebind_remstatsdegreeDiffdegreeMaxdegreeMindifferencedyadeventFEtypeindegreeReceiverindegreeSenderinertiaispitpmaximumminimumospotpoutdegreeReceiveroutdegreeSenderpsABApsABABpsABAYpsABBpsABBApsABBYpsABXpsABXApsABXBpsABXYreceiverecencyContinuerecencyReceiveReceiverrecencyReceiveSenderrecencySendReceiverrecencySendSenderreciprocityremstatsrrankReceiverrankSendsamesendspspUniquetietie_effectstomstatstotaldegreeDyadtotaldegreeReceivertotaldegreeSenderuserStat

Dependencies:RcppRcppArmadilloRcppProgress

remstats

Rendered fromremstats.Rmdusingknitr::rmarkdownon Sep 12 2024.

Last update: 2023-11-14
Started: 2023-11-14

Readme and manuals

Help Manual

Help pageTopics
actor_effectsactor_effects
aomstatsaomstats
averageaverage
baselinebaseline intercept
Combine two or more remstats objectsbind_remstats
Exogenous Dyad Attribute in Long Format: both_male_longboth_male_long
Exogenous Dyad Attribute Matrix: both_male_wideboth_male_wide
Plotting Relational Event Network Statisticsboxplot.aomstats
Plotting Relational Event Network Statistics Distributionsboxplot.tomstats
degreeDiffdegreeDiff
degreeMaxdegreeMax
degreeMindegreeMin
differencedifference
eventevent
FEtypeFEtype
Simulated relational event historyhistory
indegreeReceiverindegreeReceiver
indegreeSenderdegree indegree indegreeSender
inertiainertia
Simulated exogenous information on actors in a social network.info
ispisp
itpitp
maximummaximum
minimumminimum
osposp
otpotp triad
outdegreeReceiveroutdegreeReceiver
outdegreeSenderoutdegree outdegreeSender
Plotting Relational Event Network Statistics Trajectoriesplot.aomstats
Plotting Relational Event Network Statistics Trajectoriesplot.tomstats
Printing Relational Event Network Statisticsprint.remstats
psABApsABA
psABABpsABAB
psABAYpsABAY
psABBpsABB
psABBApsABBA pshift
psABBYpsABBY
psABXpsABX
psABXApsABXA
psABXBpsABXB
psABXYpsABXY
receivereceive
recencyContinuerecency recencyContinue
recencyReceiveReceiverrecencyReceiveReceiver
recencyReceiveSenderrecencyReceiveSender
recencySendReceiverrecencySendReceiver
recencySendSenderrecencySendSender
reciprocityreciprocity
remstatsremstats
rrankReceiverrankReceive
rrankSendrecencyRank rrank rrankSend
samesame
sendsend
spsp
spUniquespUnique
Relational Event Network Statistics Summariessummary.remstats
tiedyad tie
tie_effectstie_effects
tomstatstomstats
totaldegreeDyadtotaldegreeDyad
totaldegreeReceivertotaldegreeReceiver
totaldegreeSendertotaldegree totaldegreeSender
userStatuserStat