This package contains all distributions to be used for GAMLSS models.
Each distributions has its probability function,
d, its commutative probability function,
inverse of the commutative probability function,
q, its random
r, and also the
gamlss.family generating function
|License:||GPL (version 2 or later)|
This package is design to be used with the package gamlss but the
can be used separately.
Maintainer: Mikis Stasinopoulos <[email protected]>
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. (2003) 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.
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plot(function(y) dSICHEL(y, mu=10, sigma = 0.1 , nu=1 ), from=0, to=30, n=30+1, type="h") # pdf # cdf plot PPP <- par(mfrow=c(2,1)) plot(function(y) pSICHEL(y, mu=10, sigma =0.1, nu=1 ), from=0, to=30, n=30+1, type="h") # cdf cdf<-pSICHEL(0:30, mu=10, sigma=0.1, nu=1) sfun1 <- stepfun(1:30, cdf, f = 0) plot(sfun1, xlim=c(0,30), main="cdf(x)") par(PPP)
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