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.

Author(s)

Justin Harrington harringt@stat.ubc.ca

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).

Results