goldfish-package.Rd.manynet.Makevars.in file that produced a note
when check as CRAN.checkEvents() method addresses S3 generic/method
consistency.GatherPreprocessing().estimate().estimate() for
DyNAM models.estimate() when using
a parameter is fixed to a value.startTime and endTime bug on
DyNAM and REM models preprocessing.GatherPreprocessing(). Experimental
functionality.aes_string() deprecation.C++ engine on DyNAM-rate..GlobalEnv and drop
goldfishObjects().vcov(), now is possible to use
stats::confint() to obtain confidence interval for
parameters estimates under asymptotic normality, and also get them from
a tidy() call.silent parameter replace by progress.
progress and verbose can be set with global
options with the same name.logLik(), now is possible to use
AIC() and BIC() from stats
package and make likelihood ratio test of nested models using
lmtest::lrtest().define functions,
linkEvents() and print methods. The reserved
names and expected variables are explained.fig.retina from figures in vignettes and keeps
default size.vignette("goldfishEffects") documentation for
closure effects.C engine.opportunityListegoAlterInt(list(egoAttr, alterAttr))migraph packageClosure effects renaming.
clSender(net) -> commonSender(net)
clReceiver(net) -> commonReceiver(net)
mixedClSender(list(net1, net2)) -> mixedCommonSender(list(net1, net2))
mixedClReceiver(list(net1, net2)) -> mixedCommonReceiver(list(net1, net2))Updated examine.outliers() and
examine.changepoints() to plot more informative plots (with
{ggplot2})
Added vignette teaching2.Rmd that also indicates
these extensions
Added vignette teaching1.Rmd with the “How to
start”
{broom}-related functions
tidy() and glance()examine.outliers() and
examine.changepoints() to plot more informative plots (with
{ggplot2})
teaching2.Rmd that also indicates these
extensionsteaching1.Rmd with the “How to
start”New DyNAM-i model available to model face-to-face interaction data, collected through video or RFID badges.
Functions to transform interaction data into DyNAM-compatible objects
defineGroups_interaction(interactions_data, actors, seed.randomization)Estimation functions for the joining and leaving rates of a DyNAM-i model
estimate(
dependent.events_interactions ~ 1 + intercept(network_interactions, joining = 1) +
ego(actors$age,joining = 1, subType = "centered") +
ego(actors$age,joining = -1, subType = "centered"),
model = "DyNAMi", subModel = "rate")Estimation functions for the choice part of a DyNAM-i model
estimate(
dependent.events_interactions ~ diff(actors$age,subType="averaged_sum") ,
model = "DyNAMi", subModel = "choice",
estimationInit = list(opportunitiesList = opportunities))New closure effects for model = "DyNAM" with
subModel = "choice" and model = "REM".
Documentation is updated accordingly.
cycle(bilatnet)
clSender(bilatnet)
clReceiver(bilatnet)
mixedCycle(list(bilatnet, contignet))
mixedClSender(list(bilatnet, contignet))
mixedClReceiver(list(bilatnet, contignet))print-method and
update-method.tertius_diff() and node_trans() are
changed to tertiusDiff() and nodeTrans()
complaining with naming convention.mixedTrans() effect is created. It requires the
definition of two networks to compute the number of two paths between
nodes.
mixedTrans(list(bilatnet, contignet))estimate() no longer give warnings in R 4.0.0.linkEvents() is refactored as a S3 method.print or summary methods for
goldfish objects are developed.head() and tail() methods for
nodes.goldfish, network.goldfish and
dependent.goldfish are available.tertius() and tertius_diff() effects
are created. It requires the definition of a network and an
attribute.
tertius_diff(bilatnet, states$gdp)
tertius(bilatnet, states$gdp)estimate() now estimation routine in C for
model = "DyNAM" and
subModel = "choice_coordination".estimate() parameter engine through
estimationInit argument control the estimation routine
used.
mod01 <- estimate(callsDependent ~ inertia + recip + trans,
model = "DyNAM", subModel = "choice",
estimationInit = list(engine = "gather_compute"))estimate() now estimation routine in C
except for model = "DyNAM" and
subModel = "choice_coordination".
New effects definition for model = "DyNAM" and
subModel = "rate".
inertia fixed bug when
weighted = TRUE.modelType argument in estimate() have been
deprecated in favor of model and
submodel.estimate().defineDependentEvents(),
defineGlobalAttribute(), defineNetwork(),
defineNodes() and linkEvents().