latent_class_classification: using latent class linear mixed model (LCMM), create groups...
In ABMI/ICARUSviewer:
View source: R/LCMMclustering.r
Description
using latent class linear mixed model (LCMM), create groups according to longitudinally measured data trajectories
Usage
1
2
latent_class_classification(all_longitudinal_data_for_cluster,
measurementConceptId_Trajectory, degreeOfPolynomial, cluster_number)
Arguments
all_longitudinal_data_for_cluster
result of getAllLongitudinal code
measurementConceptId_Trajectory
which measurement_concept_id do you want to use to cluster cohort
degreeOfPolynomial
cluster_number
the number of clusters
ABMI/ICARUSviewer documentation built on Feb. 12, 2020, 4:12 a.m.
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View source: R/LCMMclustering.r
Description
using latent class linear mixed model (LCMM), create groups according to longitudinally measured data trajectories
Usage
1 2 | latent_class_classification(all_longitudinal_data_for_cluster,
measurementConceptId_Trajectory, degreeOfPolynomial, cluster_number)
|
Arguments
all_longitudinal_data_for_cluster |
result of getAllLongitudinal code |
measurementConceptId_Trajectory |
which measurement_concept_id do you want to use to cluster cohort |
degreeOfPolynomial |
|
cluster_number |
the number of clusters |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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