z.scores: Z-scores for lms objects

In mstasinopoulos/GAMLSS-original: Generalized Additive Models for Location Scale and Shape

Z-scores for lms objects

Description

This creates z-scores for new values of y and x given a fitted lms object.

Usage

z.scores(object, y, x)

Arguments

object	a lms fitted object
y	new y values
x	new x values

Details

This is simply a job that can be also done by centiles.pred().

Value

the required z-scores

Author(s)

Mikis Stasinopoulos

References

Cole, T. J. (1994) Do growth chart centiles need a face lift? BMJ, 308–641.

Cole, T. J. and Green, P. J. (1992) Smoothing reference centile curves: the LMS method and penalized likelihood, Statist. Med. 11, 1305–1319

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.

Rigby, R. A., Stasinopoulos, D. M., Heller, G. Z., and De Bastiani, F. (2019) Distributions for modeling location, scale, and shape: Using GAMLSS in R, Chapman and Hall/CRC. An older version can be found in https://www.gamlss.com/.

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, https://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.

(see also https://www.gamlss.com/).

See Also

centiles.pred

Examples

## Not run: 
IND<-sample.int(7040, 1000, replace=FALSE)
db1 <- db[IND,]
plot(head~age, data=db1)
m0 <-  lms(head, age, data=db1,trans.x=TRUE )
z.scores(m0, x=c(2,15,30,40),y=c(45,50,56,63))
## End(Not run)

mstasinopoulos/GAMLSS-original documentation built on March 27, 2024, 7:11 a.m.