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Posts by Author: 19 posts by Mikis

This page is dedicated to brief tutorial related to GAMLSS:           An brief introduction to gamlss() function in R                

The GAMLSS group is releasing a Java API (Application Programming Interface) to be used as an interface by Java software developers requiring a flexible modelling framework for statistical modelling. The GAMLSS-Java is a library of lightweight, self-contained statistics components of the GAMLSS framework. The key advantage is that there is limited dependencies – only one external […]

The ACEGES model is an agent-based model for exploratory energy policy by means of controlled computational experiments. ACEGES is designed to be the foundation for large custom-purpose simulations of the global energy system.  The ACEGES-based scenarios, such as oil and gas scenarios, are analysed within the GAMLSS framework.  GAMLSS is also used for the statistical […]

  The diagnostics for GAMLSS models are based on the residuals of the fitted model.The GAMLSS models use the  normalised quantile residuals for continuous response variables and randomised normalised quantile residuals for discrete response variables. The main advantage of the normalised (randomised) quantile residuals is that, whatever the distribution of the response variable their true values […]

The new version of gamlss is 4.2-0. The following are the changes made:   package gamlss: The functions prof.dev() and prof.term() are improved. The argument step is not anymore compulsory and if not set the argument length is used instead. For most cases there is no need to have a fine grid since the function is approximated using splinefun(). The output is […]

The new features in version 2.1-2 are as follows: package gamlss: The function histSmo() is added for density estimation. The function histDist() now has the function gamlssML() as its main fitting function. The fitting function  gamlss() is only used if gamlssML() fails. The function gamlssML() has now an argument start.from. In the function fitDist(), the normal distribution NO() is added to the list of “.realline” so it also appears […]