la: The blood flow dataset.

In gamlss.nl: Fitting non linear parametric GAMLSS models

Description

The blood flow dataset.

Usage

data(la)

Format

A data frame with 251 observations on the following 4 variables.

bflow

the blood flow measured invasively using radioactively labelled micro-spheres

PET60

is the blood flow measured non-invasively by positron emission tomography using a scan up to 60 seconds

PETother

?

PET510

is the blood flow measured non-invasively by positron emission tomography using a scan up to 510 seconds

Details

The blood flow data were analyzed by Lange et al. (1989), Jones and Faddy (2003) and Rigby and Stasinopoulos (2006). As response variables y the variables PET60, PETother, PET510 can be used representing blood flow measured non-invasively by positron emission tomography using a scan up to 60 seconds (PET60) or 510 second (PET510) respectively. The explanatory variable x is the blood flow measured invasively using radioactively labelled micro-spheres. The distribution of y has previously been modelled by a normal (NO) and a t family distribution (TF), Lange et al. (1989), and by a skew t distribution (ST), Jones and Faddy (2003) and by Rigby and Stasinopoulos (2006) using several three and four parameter distributions, including the Box-Cox power exponential (BCPE), Rigby and Stasinopoulos (2004) and the Box-Cox t diastribution (BCT) .

References

Jones, M. C. and Faddy, M. J. (2003). A skew extension of the t distribution, with applications. J. Roy. Statist. Soc B, 65, 159-174.

Lange, K. L., Little, R. J. A. and Taylor, J. M. G. (1989). Robust statistical modelling using the t distribution. J. Am. Statist. Ass., 84, 881-896.

Rigby, R.A. Stasinopoulos, D.M. (2006). Using the Box-Cox t distribution in GAMLSS to mode skewnees and and kurtosis. to appear in Statistical Modelling.

Examples

data(la)
plot(PET60~bflow,data=la)

Example output

Loading required package: gamlss
Loading required package: splines
Loading required package: gamlss.data
Loading required package: gamlss.dist
Loading required package: MASS
Loading required package: nlme
Loading required package: parallel
 **********   GAMLSS Version 5.0-2  ********** 
For more on GAMLSS look at http://www.gamlss.org/
Type gamlssNews() to see new features/changes/bug fixes.

Loading required package: survival

gamlss.nl documentation built on May 2, 2019, 5:24 p.m.