R packages by christophe314

kml - K-Means for Longitudinal Data

An implementation of k-means specifically design to cluster longitudinal data. It provides facilities to deal with missing value, compute several quality criterion (Calinski and Harabatz, Ray and Turie, Davies and Bouldin, BIC, ...) and propose a graphical interface for choosing the 'best' number of clusters.

Last updated 5 months ago

3.65 score 1 dependents 110 scripts 1.4k downloads

longitudinalData - Longitudinal Data

Tools for longitudinal data and joint longitudinal data (used by packages kml and kml3d).

Last updated 5 months ago

3.55 score 1 stars 11 dependents 65 scripts 1.6k downloads

kml3d - K-Means for Joint Longitudinal Data

An implementation of k-means specifically design to cluster joint trajectories (longitudinal data on several variable-trajectories). Like 'kml', it provides facilities to deal with missing value, compute several quality criterion (Calinski and Harabatz, Ray and Turie, Davies and Bouldin, BIC,...) and propose a graphical interface for choosing the 'best' number of clusters. In addition, the 3D graph representing the mean joint-trajectories of each cluster can be exported through LaTeX in a 3D dynamic rotating PDF graph.

Last updated 5 months ago

2.23 score 34 scripts 869 downloads