This function generate a function with argument the parameters of the GAMLSS model which can evaluate the log-likelihood function.
A gamlss fitted model
The purpose of this function is to help the function vcov() to get he right Hessian matrix after a model has fitted. Note that at the momment smoothing terms are consideted as fixed.
A function of the log-likelihood
Mikis Stasinopoulos firstname.lastname@example.org Bob Rigby and Vlasios Voudouris
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/).
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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. GAMLSS-RS iteration 1: Global Deviance = 492.7119 GAMLSS-RS iteration 2: Global Deviance = 492.6375 GAMLSS-RS iteration 3: Global Deviance = 492.6373  246.3187 'log Lik.' -246.3187 (df=6)
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