vismi: Visualisation Tools for Multiple Imputation
I will demonstrate how visualisation tools can be used to assess the imputation performance.
Dec 2, 2024
miae: Multiple Imputation Through Autoencoders
Demonstrate R package miae. Implemented with Torch.
Dec 7, 2023
mixgb: Multiple Imputation Through XGBoost
Demonstrate the R package mixgb.
Jul 6, 2021
Designed Experiments for Tuning Hyperparameters in Machine Learning Algorithms
Alternative method for hyperparameter tuning based on Supersaturated Design with Response Surface Methodology (SDRSM)
Nov 24, 2020
Multiple imputation through variational autoencoders
Demonstrate R package misle. Implemented with TensorFlow.
Nov 26, 2019