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, ...)
Coefficients extracted from the GAMLSS model object.
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
Mikis Stasinopoulos d.stasinopoulos@londonmet.ac.uk
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/).
gamlss
, deviance.gamlss
, fitted.gamlss
data(aids)
h<-gamlss(y~poly(x,3)+qrt, family=NBI, data=aids) #
coef(h)
coefAll(h)
rm(h)
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