dm13450 / dirichletprocessLinks
Build dirichletprocess objects for data analysis
☆62Updated 2 years ago
Alternatives and similar repositories for dirichletprocess
Users that are interested in dirichletprocess are comparing it to the libraries listed below
Sorting:
- Bayesian Linear Mixed Effect Models☆46Updated last month
- energy package for R☆49Updated last year
- maximum likelihood estimation package☆25Updated 11 months ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆24Updated 4 years ago
- Joint Models for Longitudinal & Survival Data under Maximum Likelihood☆37Updated last year
- Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates☆20Updated 2 years ago
- R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…☆26Updated 3 months ago
- Estimation of Time-Varying k-order Mixed Graphical Models☆29Updated 10 months ago
- ☆17Updated last month
- R package: Manifold learning in R☆13Updated 5 years ago
- 🤠 📿 The Highly Adaptive Lasso☆49Updated last year
- iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features☆48Updated 4 years ago
- Subset partitioning via anticlustering☆38Updated last month
- Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values☆29Updated last week
- Sparse Principal Component Analysis (SPCA) using Variable Projection☆71Updated 7 years ago
- CRAN R package: Impute missing values based on automated variable selection☆16Updated 4 years ago
- Regularization paths for SCAD- and MCP-penalized regression models☆44Updated this week
- Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…☆47Updated 2 months ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆60Updated last year
- Regularization paths for regression models with grouped covariates☆35Updated last month
- Duration-Based Quantities of Interest and Simulation Methods for the Cox Proportional Hazards Model☆25Updated 4 years ago
- Simulate Survival Data☆24Updated 2 weeks ago
- BDM Code examples from Win/OpenBUGS, CARBayes and INLA☆27Updated 6 years ago
- Dimension Reduction and Estimation Methods☆55Updated 4 months ago
- Joint Models for Longitudinal and Survival Data using MCMC☆59Updated 5 years ago
- Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).☆21Updated 5 months ago
- Tools for automatically generating local sensitivity measures in Stan.☆37Updated 5 years ago
- R package for missing-data imputation with deep learning☆36Updated 2 years ago
- Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction☆33Updated 2 months ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆80Updated 2 weeks ago