Data for using for simulation
Those data values are used to create simaulated data
data("sda")A data frame with 120 observations on the following 5 variables.
xthe explanatory variable
muthe fitted mu
sigmathe fitted sigma
nuthe fitted nu
tauthe fitted tau
The data are fitted values of model
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.
Stasinopoulos D. M., Rigby R.A., Heller G., Voudouris V., and De Bastiani F., (2017) Flexible Regression and Smoothing: Using GAMLSS in R, Chapman and Hall/CRC. https://www.crcpress.com/Flexible-Regression-and-Smoothing-Using-GAMLSS-in-R/Stasinopoulos-Rigby-Heller-Voudouris-Bastiani/p/book/9781138197909.
data(sda) fmu <- splinefun(sda$x, sda$mu) curve(fmu, -2,2) fsigma <- splinefun(sda$x, sda$sigma) curve(fsigma, -2,2) fnu <- splinefun(sda$x, sda$nu) curve(fnu, -2,2) ftau <- splinefun(sda$x, sda$tau) curve(ftau, -2,2)
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