demo.Locmean {gamlss.demo}

Demos for local polynomial smoothing

Description

Those are four demos to show weighed and unweighed local mean and polynomial smoothing.

Usage

 
demo.Locmean(y = NULL, x = NULL, ...) 
demo.Locpoly(y = NULL, x = NULL, ...)
demo.WLocpoly(y = NULL, x = NULL, ...)
demo.WLocmean(y = NULL, x = NULL, ...)

Arguments

y

the response variable. If null it generates its own data

x

explanatory variable

...

for extra argument in the plot

Value

It produces an rpanel plot

Author(s)

Mikis Stasinopoulos [e-mail]

References

Bowman, Bowman, Gibson and Crawford (2008) rpanel, CRAN

Eilers, P. H. C. and Marx, B. D. (1996). Flexible smoothing with B-splines and penalties (with comments and rejoinder). Statist. Sci, 11, 89-121.

Rigby, R. A. and Stasinopoulos D. M. (2005). Generalized additive models for location, scale and shape, (with discussion), Appl. Statist., 54, part 3, pp 507-554.

Stasinopoulos D. M., Rigby R.A. and Akantziliotou C. (2006) Instructions on how to use the GAMLSS package in R. Accompanying documentation in the current GAMLSS help files, (see also http://www.gamlss.org/).

Stasinopoulos D. M. Rigby R.A. (2007) Generalized additive models for location scale and shape (GAMLSS) in R. Journal of Statistical Software, Vol. 23, Issue 7, Dec 2007, http://www.jstatsoft.org/v23/i07.

See Also

demo.PSplines

Examples

 demo.Locmean()