GlmCluster-class: Class GlmCluster
Description
GlmCluster contains all relevant information about
the trajectories obtained and the affectation to the clusters.
Objects from the Class
GlmCluster is used inside glmClust and
contain all the information to plot and print the main trajectories.Slots
formula:- Object of class
formula. nClust:- The number of clusters.
ident:- Name of the 'identity' column in the data.
timeVar:- Name of the 'time' column in the data.
time:-
Numeric Vector of the time. effectVar:- Name of a variable with cluster effect or not.
effect:- A variable effect, can be a level cluster effect or not.
model.glm:- A
glm object. timeParametric:- Object of class
logical. partition:- Vector of
integer containing the affectation of the individuals to the clusters. partition.long:- Same as partition but with repeated measures corresponding to the number of observations for each individual
proportions:- Proportions of individuals (trajectories) affected in each cluster
criteria:- A
matrix which contains the values of the 'log-likelihood', the 'AIC' (Akaike Information Criterion) and 'BIC' (bayesian information criterion). converge:- An object of class
Converge. nIter:- Number of iterations of the algorithm.
for_ggplot:- A
data.frame containing the time
and the typical trajectories.
See Also
Classes: Converge.
Plot: plot(GlmCluster).