Quick info
Mark van der Laan has worked on 11 packages so far. In total, Mark van der Laan has worked with 25 other authors on those packages. Impressive teamwork!
Packages overview
Package details
| EScvtmle | Experiment-Selector CV-TMLE for Integration of Observational and RCT Data Lauren Eyler Dang , Maya Petersen , Mark van der Laan |
| SuperLearner | Super Learner Prediction Eric Polley , Erin LeDell , Chris Kennedy , Sam Lendle , Mark van der Laan |
| ctmle | Collaborative Targeted Maximum Likelihood Estimation Cheng Ju , Susan Gruber , Richard Wyss , Jenny Haggstrom , Mark van der Laan |
| cvAUC | Cross-Validated Area Under the ROC Curve Confidence Intervals Erin LeDell , Maya Petersen , Mark van der Laan |
| cvCovEst | Cross-Validated Covariance Matrix Estimation Philippe Boileau , Nima Hejazi , Brian Collica , Jamarcus Liu , Mark van der Laan , Sandrine Dudoit |
| hal9001 | The Scalable Highly Adaptive Lasso Jeremy Coyle , Nima Hejazi , Rachael Phillips , Lars van der Laan , David Benkeser , Oleg Sofrygin , Weixin Cai , Mark van der Laan |
| haldensify | Highly Adaptive Lasso Conditional Density Estimation Nima Hejazi , David Benkeser , Mark van der Laan , Rachael Phillips |
| ltmle | Longitudinal Targeted Maximum Likelihood Estimation Joshua Schwab , Samuel Lendle , Maya Petersen , Mark van der Laan , Susan Gruber |
| subsemble | An Ensemble Method for Combining Subset-Specific Algorithm Fits Erin LeDell , Stephanie Sapp , Mark van der Laan |
| tmle | Targeted Maximum Likelihood Estimation Susan Gruber , Mark van der Laan , Chris Kennedy |
| txshift | Efficient Estimation of the Causal Effects of Stochastic Interventions Nima Hejazi , David Benkeser , Iván Díaz , Jeremy Coyle , Mark van der Laan |