lga (version 1.1-1)

lga-package: The lga Package

Description

The lga package is an implementation of the algorithms described in Van Aelst et al (2006) and Garcia-Escudero et al (2008). It has three main functions (with accompanying print and plot methods).

• lgaThe core linear grouping analysis
• rlgaThe robust version of linear grouping analysis
• gapPerforms a gap analysis to find the number of clusters

For more details refer to the relevant help files.

References

Van Aelst, S. and Wang, X. and Zamar, R. and Zhu, R. (2006) ‘Linear Grouping Using Orthogonal Regression’, Computational Statistics \& Data Analysis 50, 1287--1312.

Garcia-Escudero, L.A., Gordaliza, A., San Martin, R., Van Aelst, S. and Zamar, R.H. (2008) ‘Robust linear clustering’. To appear in Journal of the Royal Statistical Society, Series B (accepted June, 2008).