Specify a custom method based on a model function
Specify a custom method based on a model function
lcMethodCustom(
response,
fun,
center = meanNA,
time = getOption("latrend.time"),
id = getOption("latrend.id"),
name = "custom"
)response |
The name of the response variable. |
fun |
The cluster |
center |
Optional |
time |
The name of the time variable. |
id |
The name of the trajectory identification variable. |
name |
The name of the method. |
Other lcMethod implementations:
lcMethod-class,
lcMethodAkmedoids,
lcMethodCrimCV,
lcMethodDtwclust,
lcMethodFeature,
lcMethodFunFEM,
lcMethodGCKM,
lcMethodKML,
lcMethodLMKM,
lcMethodLcmmGBTM,
lcMethodLcmmGMM,
lcMethodLongclust,
lcMethodMclustLLPA,
lcMethodMixAK_GLMM,
lcMethodMixtoolsGMM,
lcMethodMixtoolsNPRM,
lcMethodRandom,
lcMethodStratify
data(latrendData)
# Stratification based on the mean response level
clusfun <- function(data, response, id, time, ...) {
clusters <- data.table::as.data.table(data)[, mean(Y) > 0, by = Id]$V1
lcModelCustom(data = data,
trajectoryAssignments = factor(clusters, levels = c(FALSE, TRUE), labels = c("Low", "High")),
response = response,
time = time,
id = id)
}
method <- lcMethodCustom(response = "Y", fun = clusfun, id = "Id", time = "Time")
model <- latrend(method, data = latrendData)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.