gamlss.gnet: Support for Function gnet()
In gamlss.lasso: Extra Lasso-Type Additive Terms for GAMLSS
Description
Usage
Arguments
Value
Author(s)
References
See Also
View source: R/glmnet_gamlss.R
Description
This is support for the smoother function gnet() an interface for Tibshirani's glmnet() function.
It is not intended to be called directly by users.
Usage
1
gamlss.gnet(x, y, w, xeval = NULL, ...)
Arguments
x
the explanatory variables
y
iterative y variable
w
iterative weights
xeval
if xeval=TRUE then predicion is used
...
for extra arguments
Value
No return value, called for GAMLSS gnet procedure.
Author(s)
Florian Ziel, Peru Muniain and Mikis Stasinopoulos
References
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., and De Bastiani F., (2019) Distributions for Modeling Location, Scale and Shape: Using GAMLSS in R, Chapman and Hall/CRC.
Ripley, B. D. (1996) Pattern Recognition and Neural Networks. Cambridge.
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/).
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
See Also
gamlss.lasso documentation built on May 21, 2021, 5:07 p.m.
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Description Usage Arguments Value Author(s) References See Also
View source: R/glmnet_gamlss.R
Description
This is support for the smoother function gnet() an interface for Tibshirani's glmnet() function.
It is not intended to be called directly by users.
Usage
1 | gamlss.gnet(x, y, w, xeval = NULL, ...)
|
Arguments
x |
the explanatory variables |
y |
iterative y variable |
w |
iterative weights |
xeval |
if xeval=TRUE then predicion is used |
... |
for extra arguments |
Value
No return value, called for GAMLSS gnet procedure.
Author(s)
Florian Ziel, Peru Muniain and Mikis Stasinopoulos
References
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., and De Bastiani F., (2019) Distributions for Modeling Location, Scale and Shape: Using GAMLSS in R, Chapman and Hall/CRC.
Ripley, B. D. (1996) Pattern Recognition and Neural Networks. Cambridge.
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/).
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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