Specify a model based on a pre-computed result.
Specify a model based on a pre-computed result.
lcModelCustom(
data,
response,
trajectoryAssignments = NULL,
clusterTrajectories = mean,
trajectories = data,
time = getOption("latrend.time"),
id = getOption("latrend.id"),
clusterNames = NULL,
converged = TRUE,
postprob = NULL,
model = NULL,
name = "custom",
predict = NULL,
predictPostprob = NULL,
method = new("lcMethod")
)data |
The data on which the cluster result is based, a data.frame. |
response |
The response variable. |
trajectoryAssignments |
A vector indicating cluster membership per strata. Either a |
clusterTrajectories |
The cluster trajectories as a data.frame, or a function computing the center trajectory based on the strata of the respective cluster. |
trajectories |
The fitted trajectories. |
time |
The time variable. |
id |
The id variable. |
clusterNames |
The names of the clusters. Optional. |
converged |
Convergence state of the model. TRUE by default. |
postprob |
Optional posterior probability matrix. |
model |
An optional object representing the internal model. |
name |
The name of the model. |
predict |
Predict function for the response. |
predictPostprob |
Predict function for the posterior probability. |
method |
The method used to create this lcModelCustom instance. Optional. |
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