An extension of XGBoost to probabilistic modelling
An extension of LightGBM to probabilistic modelling
An extension of CatBoost to probabilistic modelling
A package for online distributional learning.
Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).
An extension of Py-Boost to probabilistic modelling
Toolbox to estimate, automatically regularize, and select between Generalized Additive Mixed Models and their extensions in Python
RefCurv: A Software for the Construction of Pediatric Reference Curves
A general modelling framework for specifying and fitting models to empirical fundamental diagrams of road traffic, and for comparing the model fits using information criteria
Shiny App: Calculation of Age-dependent Reference Intervals (AdRI)
A Python library for Generalized Additive Models (GAMs) with flexible smoothing, principled inference, and beautiful visualizations.
Framework for the visualization of distributional regression models
Shiny App for regression analysis using GAMLSS
Shiny App: Calculation of Age-dependent Reference Intervals with GAMLSS (AdRI_GAMLSS)
This repo provides supplemental material for the article titled: "Assessing Potential Heteroscedasticity in Psychological Data: A GAMLSS approach"
Fast GAMLSS surrogate for Hall dynamic weight change model (used in microsimulation)
GAMLSS for insurance pricing in Python — model variance, shape, and tail parameters as functions of covariates
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