mboost: Model-Based Boosting

Canonical link: https://scholar.rpkg.net/pkg/mboost

Torsten Hothorn • Peter Buehlmann • Thomas Kneib • Matthias Schmid • Benjamin Hofner • Fabian Otto-Sobotka • Fabian Scheipl • Andreas Mayr • View description and downloads View dependencies GitHub project

2006 Published

2.9-9 Version

0 Citations

8 Authors

Referenced by ⇅	Year
mlr: Machine Learning in R (Version 2.19.1)	2013
CompareCausalNetworks: Interface to Diverse Estimation Methods of Causal Networks (Version 0.2.6.2)	2015
DIFboost: Detection of Differential Item Functioning (DIF) in Rasch Models by Boosting Techniques (Version 0.3)	2015
FDboost: Boosting Functional Regression Models (Version 1.1-2)	2014
GeDS: Geometrically Designed Spline Regression (Version 0.2.1)	2017
HSAUR2: A Handbook of Statistical Analyses Using R (2nd Edition) (Version 1.1-20)	2009
HSAUR3: A Handbook of Statistical Analyses Using R (3rd Edition) (Version 1.0-14)	2014
InvariantCausalPrediction: Invariant Causal Prediction (Version 0.8)	2014
MachineShop: Machine Learning Models and Tools (Version 3.7.0)	2018
biospear: Biomarker Selection in Penalized Regression Models (Version 1.0.2)	2017
boostrq: Boosting Regression Quantiles (Version 1.0.0)	2024
bujar: Buckley-James Regression for Survival Data with High-Dimensional Covariates (Version 0.2-11)	2014
carSurv: Correlation-Adjusted Regression Survival (CARS) Scores (Version 1.0.0)	2018
catdata: Categorical Data (Version 1.2.4)	2012
censored: 'parsnip' Engines for Survival Models (Version 0.3.0)	2022
expectreg: Expectile and Quantile Regression (Version 0.53)	2010
familiar: End-to-End Automated Machine Learning and Model Evaluation (Version 1.4.6)	2022
flowml: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)	2023
fscaret: Automated Feature Selection from 'caret' (Version 0.9.4.4)	2013
gamboostLSS: Boosting Methods for 'GAMLSS' (Version 2.0-7)	2011
gamboostMSM: Boosting Multistate Models (Version 1.1.88)	2014
geoGAM: Select Sparse Geoadditive Models for Spatial Prediction (Version 0.1-3)	2016
gfboost: Gradient-Free Gradient Boosting (Version 0.1.1)	2020
imputeR: A General Multivariate Imputation Framework (Version 2.2)	2014
mgwrsar: GWR and MGWR with Spatial Autocorrelation (Version 1.0.5)	2021
pre: Prediction Rule Ensembles (Version 1.0.7)	2016
sgboost: Sparse-Group Boosting (Version 0.1.0)	2024
spikeSlabGAM: Bayesian Variable Selection and Model Choice for Generalized Additive Mixed Models (Version 1.1-19)	2011
sqlscore: Utilities for Generating SQL Queries from Model Objects (Version 0.1.4)	2016
stabs: Stability Selection with Error Control (Version 0.6-4)	2014
survex: Explainable Machine Learning in Survival Analysis (Version 1.2.0)	2022
tbm: Transformation Boosting Machines (Version 0.3-6)	2019
tidyfit: Regularized Linear Modeling with Tidy Data (Version 0.7.1)	2022
visaOTR: Valid Improved Sparsity A-Learning for Optimal Treatment Decision (Version 0.1.0)	2022

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