coef.gamlss
is the GAMLSS specific method for the generic function coef
which extracts model coefficients
from objects returned by modelling functions. `coefficients' is an
alias for coef
.
# S3 method for gamlss
coef(object, what = c("mu", "sigma", "nu", "tau"),
parameter = NULL, ... )
coefAll(obj, deviance = FALSE, ...)
a GAMLSS fitted model
which parameter coefficient is required, default what="mu"
equivalent to what
(more obvious name)
whether to print also the deviance.
for extra arguments
Coefficients extracted from the GAMLSS model object.
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/).
# NOT RUN {
data(aids)
h<-gamlss(y~poly(x,3)+qrt, family=NBI, data=aids) #
coef(h)
coefAll(h)
rm(h)
# }
Run the code above in your browser using DataLab