demo.Locmean: Demos for local polynomial smoothing
In gamlss.demo: Demos for GAMLSS
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
Those are four demos to show weighed and unweighed local mean and polynomial smoothing.
Usage
1
2
3
4
5
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 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.
See Also
Examples
1
gamlss.demo documentation built on May 2, 2019, 5:29 p.m.
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Description Usage Arguments Value Author(s) References See Also Examples
Description
Those are four demos to show weighed and unweighed local mean and polynomial smoothing.
Usage
1 2 3 4 5 |
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 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.
See Also
Examples
1 |
R Package Documentation
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