gbm: Generalized Boosted Regression Models

Canonical link: https://rscholar.com/pkg/gbm

Greg Ridgeway • Daniel Edwards • Brian Kriegler • Stefan Schroedl • Harry Southworth • Brandon Greenwell • Bradley Boehmke • Jay Cunningham • GBM Developers • View description and downloads View dependencies GitHub project

2003 Published

2.2.2 Version

0 Citations

9 Authors

Referenced by ⇅	Year
crimelinkage: Statistical Methods for Crime Series Linkage (Version 0.0.4)	2015
DMLLZU: Double Machine Learning (Version 0.1.1)	2021
regfilter: Elimination of Noisy Samples in Regression Datasets using Noise Filters (Version 1.1.1)	2022
SDMPlay: Species Distribution Modelling Playground (Version 2.0)	2016
treemisc: Data Sets and Functions to Accompany "Tree-Based Methods for Statistical Learning in R" (Version 0.0.1)	2022
LDLcalc: Calculate and Predict the Low Density Lipoprotein Values (Version 2.1)	2021
LOGANTree: Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments (Version 0.1.1)	2022
ARTtransfer: Adaptive and Robust Pipeline for Transfer Learning (Version 1.0.0)	2024
BiodiversityR: Package for Community Ecology and Suitability Analysis (Version 2.16-1)	2007
Bodi: Boosting Diversity in Regression Ensembles (Version 0.1.0)	2022
CRE: Interpretable Discovery and Inference of Heterogeneous Treatment Effects (Version 0.2.7)	2022
CoxAIPW: Doubly Robust Inference for Cox Marginal Structural Model with Informative Censoring (Version 0.0.3)	2023
DALEXtra: Extension for 'DALEX' Package (Version 2.3.0)	2019
DeepLearningCausal: Causal Inference with Super Learner and Deep Neural Networks (Version 0.0.104)	2024
EZtune: Tunes AdaBoost, Elastic Net, Support Vector Machines, and Gradient Boosting Machines (Version 3.1.1)	2018
EnsembleBase: Extensible Package for Parallel, Batch Training of Base Learners for Ensemble Modeling (Version 1.0.2)	2014
EpiSemble: Ensemble Based Machine Learning Approach for Predicting Methylation States (Version 0.1.1)	2022
GB5mcPred: Gradient Boosting Algorithm for Predicting Methylation States (Version 0.1.0)	2023
MachineShop: Machine Learning Models and Tools (Version 3.8.0)	2018
MatchIt: Nonparametric Preprocessing for Parametric Causal Inference (Version 4.6.0)	2005
MiDA: Microarray Data Analysis (Version 0.1.2)	2019
OpEnHiMR: Optimization Based Ensemble Model for Prediction of Histone Modifications in Rice (Version 0.1.1)	2024
PSweight: Propensity Score Weighting for Causal Inference with Observational Studies and Randomized Trials (Version 1.2.0)	2020
RSDA: R to Symbolic Data Analysis (Version 3.2.1)	2013
SDMtune: Species Distribution Model Selection (Version 1.3.1)	2019
SSDM: Stacked Species Distribution Modelling (Version 0.2.9)	2016
SuperLearner: Super Learner Prediction (Version 2.0-29)	2011
WaveletGBM: Wavelet Based Gradient Boosting Method (Version 0.1.0)	2023
WeightIt: Weighting for Covariate Balance in Observational Studies (Version 1.3.2)	2017
autoMrP: Improving MrP with Ensemble Learning (Version 1.0.6)	2021
biomod2: Ensemble Platform for Species Distribution Modeling (Version 4.2-5-2)	2012
bonsaiforest: Shrinkage Based Forest Plots (Version 0.1.1)	2024
bst: Gradient Boosting (Version 0.3-24)	2011
bujar: Buckley-James Regression for Survival Data with High-Dimensional Covariates (Version 0.2-11)	2014
caretEnsemble: Ensembles of Caret Models (Version 4.0.1)	2015
cdgd: Causal Decomposition of Group Disparities (Version 0.3.5)	2023
ciu: Contextual Importance and Utility (Version 0.6.0)	2020
cobalt: Covariate Balance Tables and Plots (Version 4.5.5)	2016
condvis2: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)	2019
corrgrapher: Explore Correlations Between Variables in a Machine Learning Model (Version 1.0.4)	2020
countSTAR: Flexible Modeling of Count Data (Version 1.0.2)	2023
creditmodel: Toolkit for Credit Modeling, Analysis and Visualization (Version 1.3.1)	2019
crispRdesignR: Guide Sequence Design for CRISPR/Cas9 (Version 1.1.7)	2020
crossurr: Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers (Version 1.1.1)	2022
cvwrapr: Tools for Cross Validation (Version 1.0)	2021
dismo: Species Distribution Modeling (Version 1.3-14)	2010
dynamicSDM: Species Distribution and Abundance Modelling at High Spatio-Temporal Resolution (Version 1.3.4)	2023
ecospat: Spatial Ecology Miscellaneous Methods (Version 4.1.1)	2014
enmSdmX: Species Distribution Modeling and Ecological Niche Modeling (Version 1.1.9)	2022
evalITR: Evaluating Individualized Treatment Rules (Version 1.0.0)	2020
fairmodels: Flexible Tool for Bias Detection, Visualization, and Mitigation (Version 1.2.1)	2020
featurefinder: Feature Finder (Version 1.1)	2018
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
gbm.auto: Automated Boosted Regression Tree Modelling and Mapping Suite (Version 2024.10.01)	2021
gbm2sas: Convert GBM Object Trees to SAS Code (Version 3.0)	2015
gbts: Hyperparameter Search for Gradient Boosted Trees (Version 1.2.0)	2016
imputeR: A General Multivariate Imputation Framework (Version 2.2)	2014
inTrees: Interpret Tree Ensembles (Version 1.4)	2014
insight: Easy Access to Model Information for Various Model Objects (Version 0.20.5)	2019
lilikoi: Metabolomics Personalized Pathway Analysis Tool (Version 2.1.1)	2018
mboost: Model-Based Boosting (Version 2.9-11)	2006
metaEnsembleR: Automated Intuitive Package for Meta-Ensemble Learning (Version 0.1.0)	2020
mlr: Machine Learning in R (Version 2.19.2)	2013
mma: Multiple Mediation Analysis (Version 10.7-1)	2015
mob: Monotonic Optimal Binning (Version 0.4.2)	2020
mpae: Metodos Predictivos de Aprendizaje Estadistico (Statistical Learning Predictive Methods) (Version 0.1.2)	2024
mvGPS: Causal Inference using Multivariate Generalized Propensity Score (Version 1.2.2)	2020
nestedcv: Nested Cross-Validation with 'glmnet' and 'caret' (Version 0.7.10)	2022
npcs: Neyman-Pearson Classification via Cost-Sensitive Learning (Version 0.1.1)	2021
opera: Online Prediction by Expert Aggregation (Version 1.2.0)	2016
paths: An Imputation Approach to Estimating Path-Specific Causal Effects (Version 0.1.1)	2020
pdp: Partial Dependence Plots (Version 0.8.2)	2016
plotmo: Plot a Model's Residuals, Response, and Partial Dependence Plots (Version 3.6.4)	2011
pmml: Generate PMML for Various Models (Version 2.5.2)	2007
pomodoro: Predictive Power of Linear and Tree Modeling (Version 3.8.0)	2022
posterior: Tools for Working with Posterior Distributions (Version 1.6.0)	2021
precmed: Precision Medicine (Version 1.1.0)	2022
psborrow2: Bayesian Dynamic Borrowing Analysis and Simulation (Version 0.0.3.4)	2024
qeML: Quick and Easy Machine Learning Tools (Version 1.1)	2023
rSAFE: Surrogate-Assisted Feature Extraction (Version 0.1.4)	2021
ranktreeEnsemble: Ensemble Models of Rank-Based Trees with Extracted Decision Rules (Version 0.23)	2023
regressoR: Regression Data Analysis System (Version 4.0.3)	2019
rgnoisefilt: Elimination of Noisy Samples in Regression Datasets using Noise Filters (Version 1.1.2)	2023
riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks (Version 2023.12.21)	2011
scorecardModelUtils: Credit Scorecard Modelling Utils (Version 0.0.1.0)	2018
shapr: Prediction Explanation with Dependence-Aware Shapley Values (Version 0.2.2)	2020
spm: Spatial Predictive Modeling (Version 1.2.2)	2017
spm2: Spatial Predictive Modeling (Version 1.1.3)	2021
statVisual: Statistical Visualization Tools (Version 1.2.1)	2019
subsemble: An Ensemble Method for Combining Subset-Specific Algorithm Fits (Version 0.1.0)	2014
superMICE: SuperLearner Method for MICE (Version 1.1.1)	2022
survex: Explainable Machine Learning in Survival Analysis (Version 1.2.0)	2022
traineR: Predictive (Classification and Regression) Models Homologator (Version 2.2.0)	2019
treeshap: Compute SHAP Values for Your Tree-Based Models Using the 'TreeSHAP' Algorithm (Version 0.3.1)	2023
triplot: Explaining Correlated Features in Machine Learning Models (Version 1.3.0)	2020
tsensembler: Dynamic Ensembles for Time Series Forecasting (Version 0.1.0)	2017
twang: Toolkit for Weighting and Analysis of Nonequivalent Groups (Version 2.6.1)	2006
twangContinuous: Toolkit for Weighting and Analysis of Nonequivalent Groups - Continuous Exposures (Version 1.0.0)	2021
twangMediation: Twang Causal Mediation Modeling via Weighting (Version 1.2)	2021
vip: Variable Importance Plots (Version 0.4.1)	2018
visualpred: Visualization 2D of Binary Classification Models (Version 0.1.1)	2020
vivid: Variable Importance and Variable Interaction Displays (Version 0.2.9)	2021
xgrove: Explanation Groves (Version 0.1-13)	2023

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