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
visualpred: Visualization 2D of Binary Classification Models (Version 0.1.0)	2020
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
MatchIt: Nonparametric Preprocessing for Parametric Causal Inference (Version 4.5.5)	2005
MiDA: Microarray Data Analysis (Version 0.1.2)	2019
enmSdmX: Species Distribution Modeling and Ecological Niche Modeling (Version 1.1.6)	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)	2015
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
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 1.3.1)	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
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 0.8.1)	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
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
vivid: Variable Importance and Variable Interaction Displays (Version 0.2.9)	2021
xgrove: Explanation Groves (Version 0.1-13)	2023

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.