gsimchoni / lmmnnLinks
☆37Updated last year
Alternatives and similar repositories for lmmnn
Users that are interested in lmmnn are comparing it to the libraries listed below
Sorting:
- Explainable Machine Learning in Survival Analysis☆116Updated last year
- ☆59Updated 6 months ago
- Nested cross-validation for accurate confidence intervals for prediction error.☆43Updated 3 years ago
- R implementation of VCBART☆22Updated last week
- iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features☆48Updated 4 years ago
- SurvSHAP(t): Time-dependent explanations of machine learning survival models☆95Updated last year
- An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative inc…☆42Updated 3 months ago
- Shap values for model interpretation☆67Updated 5 years ago
- Different SHAP algorithms☆55Updated 2 months ago
- Bayesian kernel machine regression☆61Updated last year
- DOCUMENTATION:☆131Updated 2 weeks ago
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆90Updated last year
- Implementations of survival models in R☆58Updated last year
- Joint Models for Longitudinal and Survival Data using MCMC☆59Updated 4 years ago
- This is a read-only mirror of the CRAN R package repository. SNFtool — Similarity Network Fusion☆22Updated 4 years ago
- Code to pair with the paper "Effective Ways to Build and Evaluate Individual Survival Distributions".☆23Updated 4 years ago
- missForest is a nonparametric, mixed-type imputation method for basically any type of data for the statistical software R.☆106Updated last month
- A small wrapper package that enables full survival curve estimation using xgboost☆19Updated last year
- Extended Joint Models for Longitudinal and Survival Data☆94Updated this week
- Explaining the output of machine learning models with more accurately estimated Shapley values☆171Updated last week
- Mixed Effect Machine Learning☆10Updated 5 years ago
- Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.☆56Updated 4 years ago
- SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R'☆127Updated last year
- Perform PCA on data with missing values in R☆53Updated 2 years ago
- Parse and Manipulate Research Patient Data Registry ('RPDR') Text Queries☆11Updated 10 months ago
- Learning causal or non-causal graphical models using information theory☆32Updated 5 months ago
- Numerical experiments for nested cross-validation paper☆13Updated 3 years ago
- Duration-Based Quantities of Interest and Simulation Methods for the Cox Proportional Hazards Model☆25Updated 4 years ago
- ☆19Updated 4 years ago
- Precision Based Sample Size Calculation☆18Updated 3 weeks ago