This paper describes the (post)estimation framework and folder structure to ensure an efficient workflow when using the R package mixl. By running the postestimation script, several useful choice model indicators, such as elasticities, prediction accuracy, marginal effects and confusion matrices, are automatically calculated and saved as data sheets within the proposed folder structure
This R-code is intended for multicriteria decision support problems solved by the Composition of Pro...
Targeted maximum likelihood estimation (TMLE) is a general approach for constructing an efficient do...
This paper explores the ecosystem of software packages for R, one of the most popular environments f...
This paper introduces mixl , a new R package for the estimation of advanced choice models. The estim...
BayesPostEst is an R package with convenience functions to generate and present quantities of intere...
This paper presents the ARDL package for the statistical language R, demonstrating its main function...
This r-file contains the main statistical procedures to estimate functional responses following the ...
International audienceThe MCDA package for R implements functions to support the MCDA process. In th...
Normalised prediction distribution errors (npde) are a relatively new metric designed to allow the e...
This vignette is published as Kohl and Ruckdeschel (2010c). Package distrMod pro-vides an object ori...
In this article, we describe the randregret command which implements a variety of Random Regret Mini...
Ana Alves Francisco's Mixed effect models code for R. With an explanation of how to use it by Douwe ...
<p>The r<sup>2</sup> was for the whole model, and the rest of the statistics were for the fixed effe...
This introduction to the R package depmixS4 is a (slightly) modified version of Visser and Speekenbr...
When fitting any statistical model, there are many useful pieces of information that are simultaneou...
This R-code is intended for multicriteria decision support problems solved by the Composition of Pro...
Targeted maximum likelihood estimation (TMLE) is a general approach for constructing an efficient do...
This paper explores the ecosystem of software packages for R, one of the most popular environments f...
This paper introduces mixl , a new R package for the estimation of advanced choice models. The estim...
BayesPostEst is an R package with convenience functions to generate and present quantities of intere...
This paper presents the ARDL package for the statistical language R, demonstrating its main function...
This r-file contains the main statistical procedures to estimate functional responses following the ...
International audienceThe MCDA package for R implements functions to support the MCDA process. In th...
Normalised prediction distribution errors (npde) are a relatively new metric designed to allow the e...
This vignette is published as Kohl and Ruckdeschel (2010c). Package distrMod pro-vides an object ori...
In this article, we describe the randregret command which implements a variety of Random Regret Mini...
Ana Alves Francisco's Mixed effect models code for R. With an explanation of how to use it by Douwe ...
<p>The r<sup>2</sup> was for the whole model, and the rest of the statistics were for the fixed effe...
This introduction to the R package depmixS4 is a (slightly) modified version of Visser and Speekenbr...
When fitting any statistical model, there are many useful pieces of information that are simultaneou...
This R-code is intended for multicriteria decision support problems solved by the Composition of Pro...
Targeted maximum likelihood estimation (TMLE) is a general approach for constructing an efficient do...
This paper explores the ecosystem of software packages for R, one of the most popular environments f...