SuperLearner
R package SuperLearner: Super Learner Prediction. This package implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.
Keywords for this software
References in zbMATH (referenced in 20 articles )
Showing results 1 to 20 of 20.
Sorted by year (- Boehmke, Brad; Greenwell, Brandon M.: Hands-on machine learning with R (2020)
- Chi Zhang, Jennifer Ahern, Mark J. van der Laan, Oleg Sofrygin: tmleCommunity: A R Package Implementing Target Maximum Likelihood Estimation for Community-level Data (2020) arXiv
- Schomaker, Michael; Heumann, Christian: When and when not to use optimal model averaging (2020)
- Luedtke, Alex; Carone, Marco; Van der Laan, Mark J.: An omnibus non-parametric test of equality in distribution for unknown functions (2019)
- Van der Laan, Mark J.; Rose, Sherri: Targeted learning in data science. Causal inference for complex longitudinal studies (2018)
- Díaz, Iván: Efficient estimation of quantiles in missing data models (2017)
- Frölich, Markus; Huber, Martin; Wiesenfarth, Manuel: The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation (2017)
- Johan Steen and Tom Loeys and Beatrijs Moerkerke and Stijn Vansteelandt: medflex: An R Package for Flexible Mediation Analysis using Natural Effect Models (2017) not zbMATH
- Samuel Lendle; Joshua Schwab; Maya Petersen; Mark van der Laan: ltmle: An R Package Implementing Targeted Minimum Loss-Based Estimation for Longitudinal Data (2017) not zbMATH
- Balzer, Laura; Ahern, Jennifer; Galea, Sandro; van der Laan, Mark: Estimating effects with rare outcomes and high dimensional covariates: knowledge is power (2016)
- Biau, Gérard; Fischer, Aurélie; Guedj, Benjamin; Malley, James D.: COBRA: a combined regression strategy (2016)
- Tran, Linh; Yiannoutsos, Constantin T.; Musick, Beverly S.; Wools-Kaloustian, Kara K.; Siika, Abraham; Kimaiyo, Sylvester; van der Laan, Mark J.; Petersen, Maya: Evaluating the impact of a HIV low-risk express care task-shifting program: a case study of the targeted learning roadmap (2016)
- Sapp, Stephanie; van der Laan, Mark J.; Canny, John: Subsemble: an ensemble method for combining subset-specific algorithm fits (2014)
- Schnitzer, Mireille E.; Van der Laan, Mark J.; Moodie, Erica E. M.; Platt, Robert W.: Effect of breastfeeding on gastrointestinal infection in infants: a targeted maximum likelihood approach for clustered longitudinal data (2014)
- Stephan Ritter; Nicholas Jewell; Alan Hubbard: R Package multiPIM: A Causal Inference Approach to Variable Importance Analysis (2014) not zbMATH
- Gruber, Susan; Van der Laan, Mark J.: An application of targeted maximum likelihood estimation to the meta-analysis of safety data (2013)
- Lendle, Samuel D.; Subbaraman, Meenakshi S.; van der Laan, Mark J.: Identification and efficient estimation of the natural direct effect among the untreated (2013)
- Chambaz, Antoine; Neuvial, Pierre; van der Laan, Mark J.: Estimation of a non-parametric variable importance measure of a continuous exposure (2012)
- LeDell, Erin; Prabhat; Zubarev, Dmitry Yu.; Austin, Brian; Lester, William A. jun.: Classification of nodal pockets in many-electron wave functions via machine learning (2012)
- Susan Gruber; Mark Laan: tmle: An R Package for Targeted Maximum Likelihood Estimation (2012) not zbMATH