.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.opportunityList
egoAlterInt(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(
~ 1 + intercept(network_interactions, joining = 1) +
dependent.events_interactions 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(
~ diff(actors$age,subType="averaged_sum") ,
dependent.events_interactions model = "DyNAMi", subModel = "choice",
estimationInit = list(opportunitiesList = opportunities))
New closure effects for model = "DyNAM"
with
subModel = "choice"
and model = "REM"
.
Documentation is updated accordingly.
cycle(bilatnet)
clSender(bilatnet)
clReceiver(bilatnet)
mixedCycle(list(bilatnet, contignet))
mixedClSender(list(bilatnet, contignet))
mixedClReceiver(list(bilatnet, contignet))
print-method
and
update-method
.tertius_diff()
and node_trans()
are
changed to tertiusDiff()
and nodeTrans()
complaining with naming convention.mixedTrans()
effect is created. It requires the
definition of two networks to compute the number of two paths between
nodes.
mixedTrans(list(bilatnet, contignet))
estimate()
no longer give warnings in R 4.0.0.linkEvents()
is refactored as a S3 method.print
or summary
methods for
goldfish
objects are developed.head()
and tail()
methods for
nodes.goldfish
, network.goldfish
and
dependent.goldfish
are available.tertius()
and tertius_diff()
effects
are created. It requires the definition of a network and an
attribute.
tertius_diff(bilatnet, states$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.
<- estimate(callsDependent ~ inertia + recip + trans,
mod01 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()
.