seperateFormula: Separate the covariates in a formula

Description Usage Arguments Details Value Note

View source: R/functions4glmClust.R


Separate the covariates from a 'formula' with a cluster effect from the ones with an identical effect in each cluster if provided.





A symbolic description of the model. In the parametric case we write for example y ~ clust(time+time2) + pop(sex), here 'time' and 'time2' will have a different effect according to the cluster, the 'sex' effect is the same for all the clusters. In the non-parametric case only one covariate is allowed.


Given a 'formula' of the form Y ~ clust(T1 + T2 + ...) + pop(X1 + X2 + ...) or just Y ~ clust(T1 + T2 + ...), it returns a list of two or one 'formula' of the form Y ~ T1 + T2 + ... and ~ X1 + X2 + ... if provided.
The first element of the list correspond to the covariates with a different effects corresponding to the cluster, the 2nd correspond to covariates having an identical effect in each cluster.
In the non-parametric case only one covariate is allowed.


A list of 1 or 2 [formula].


Meant to be used internally.

kmlcov documentation built on May 30, 2017, 3:03 a.m.

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