lcFitMethods {latrend} | R Documentation |
Method fit modifiers
Description
A collection of special methods that adapt the fitting procedure of the underlying longitudinal cluster method.
NOTE: the underlying implementation is experimental and may change in the future.
Supported fit methods:
-
lcFitConverged
: Fit a method until a converged result is obtained. -
lcFitRep
: Repeatedly fit a method and return the best result based on a given internal metric. -
lcFitRepMin
: Repeatedly fit a method and return the best result that minimizes the given internal metric. -
lcFitRepMax
: Repeatedly fit a method and return the best result that maximizes the given internal metric.
Usage
lcFitConverged(method, maxRep = Inf)
lcFitRep(method, rep = 10, metric, maximize)
lcFitRepMin(method, rep = 10, metric)
lcFitRepMax(method, rep = 10, metric)
Arguments
method |
The |
maxRep |
The maximum number of fit attempts |
rep |
The number of fits |
metric |
The internal metric to assess the fit. |
maximize |
Whether to maximize the metric. Otherwise, it is minimized. |
Details
Meta methods are immutable and cannot be updated after instantiation. Calling update()
on a meta method is only used to update arguments of the underlying lcMethod object.
Examples
data(latrendData)
method <- lcMethodLMKM(Y ~ Time, id = "Id", time = "Time", nClusters = 2)
metaMethod <- lcFitConverged(method, maxRep = 10)
metaMethod
model <- latrend(metaMethod, latrendData)
data(latrendData)
method <- lcMethodLMKM(Y ~ Time, id = "Id", time = "Time", nClusters = 2)
repMethod <- lcFitRep(method, rep = 10, metric = "RSS", maximize = FALSE)
repMethod
model <- latrend(repMethod, latrendData)
minMethod <- lcFitRepMin(method, rep = 10, metric = "RSS")
maxMethod <- lcFitRepMax(method, rep = 10, metric = "ASW")