lcMethodMixAK_GLMM {latrend} | R Documentation |
Specify a GLMM iwht a normal mixture in the random effects
Description
Specify a GLMM iwht a normal mixture in the random effects
Usage
lcMethodMixAK_GLMM(
fixed,
random,
time = getOption("latrend.time"),
id = getOption("latrend.id"),
nClusters = 2,
...
)
Arguments
fixed |
A |
random |
A |
time |
The name of the time variable. |
id |
The name of the trajectory identifier variable. This is used to generate the |
nClusters |
The number of clusters. |
... |
Arguments passed to mixAK::GLMM_MCMC. The following external arguments are ignored: y, x, z, random.intercept, silent. |
Note
This method currently does not appear to work under R 4.2 due to an error triggered by the mixAK package during fitting.
References
Komárek A (2009). “A New R Package for Bayesian Estimation of Multivariate Normal Mixtures Allowing for Selection of the Number of Components and Interval-Censored Data.” Computational Statistics and Data Analysis, 53(12), 3932–3947. doi:10.1016/j.csda.2009.05.006.
See Also
Other lcMethod implementations:
getArgumentDefaults()
,
getArgumentExclusions()
,
lcMethod-class
,
lcMethodAkmedoids
,
lcMethodCrimCV
,
lcMethodDtwclust
,
lcMethodFeature
,
lcMethodFunFEM
,
lcMethodFunction
,
lcMethodGCKM
,
lcMethodKML
,
lcMethodLMKM
,
lcMethodLcmmGBTM
,
lcMethodLcmmGMM
,
lcMethodMclustLLPA
,
lcMethodMixtoolsGMM
,
lcMethodMixtoolsNPRM
,
lcMethodRandom
,
lcMethodStratify
Examples
data(latrendData)
# this example only runs when the mixAK package is installed
try({
method <- lcMethodMixAK_GLMM(fixed = Y ~ 1, random = ~ Time,
id = "Id", time = "Time", nClusters = 3)
model <- latrend(method, latrendData)
summary(model)
})