| demo.BSplines {gamlss.demo} | R Documentation |
Demos for smoothing techniques
Description
These are demos for teaching smoothing techniques to students
Usage
demo.BSplines()
demo.RandomWalk(y = NULL, ...)
demo.histSmo(y = NULL, ...)
demo.interpolateSmo(y = NULL, w = NULL, ...)
demo.PSplines(y = NULL, x = NULL, ...)
Arguments
y |
for y variable if needed otherwise it is generated |
w |
for weights if needed |
x |
for explanatory variable if needed |
... |
for adding parameters in the plot |
Value
An rpanel plot
Author(s)
Paul Eirers p.eilers@erasmusmc.nl, Brian Marx bmarx@LSU.EDU, and Mikis Stasinopoulos d.stasinopoulos@londonmet.ac.uk
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.
Examples
demo.PSplines()