lcMethodFunction: Specify a custom method based on a function

In latrend: A Framework for Clustering Longitudinal Data

Specify a custom method based on a function

Description

Specify a custom method based on a function

Usage

lcMethodFunction(
  response,
  fun,
  center = meanNA,
  time = getOption("latrend.time"),
  id = getOption("latrend.id"),
  name = "custom"
)

Arguments

response	The name of the response variable.
fun	The cluster function with signature ⁠(method, data)⁠ that returns a lcModel object.
center	Optional function for computing the longitudinal cluster centers, with signature (x).
time	The name of the time variable.
id	The name of the trajectory identification variable.
name	The name of the method.

See Also

Other lcMethod implementations: getArgumentDefaults(), getArgumentExclusions(), lcMethod-class, lcMethodAkmedoids, lcMethodCrimCV, lcMethodDtwclust, lcMethodFeature, lcMethodFunFEM, lcMethodGCKM, lcMethodKML, lcMethodLMKM, lcMethodLcmmGBTM, lcMethodLcmmGMM, lcMethodMclustLLPA, lcMethodMixAK_GLMM, lcMethodMixtoolsGMM, lcMethodMixtoolsNPRM, lcMethodRandom, lcMethodStratify

Examples

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
  lcModelPartition(
    data = data,
    trajectoryAssignments = factor(
      clusters,
      levels = c(FALSE, TRUE),
      labels = c("Low", "High")
    ),
    response = response,
    time = time,
    id = id
  )
}
method <- lcMethodFunction(response = "Y", fun = clusfun, id = "Id", time = "Time")
model <- latrend(method, data = latrendData)

latrend documentation built on March 31, 2023, 5:45 p.m.