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Section: New Software and Platforms
missMDA
A R package to perform principal component methods (PCA, MCA, MFA) with missing values and to impute continuous, categorical and mixed data. Multiple imputation is available.
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- Identifiability in mixed effects models
- Enhanced Method for Diagnosing Pharmacometric Models
- A Shrinkage-Thresholding Metropolis Adjusted Langevin Algorithm for Bayesian Variable Selection
- Maximum likelihood estimation of a low-order building model
- LP-convergence of a Girsanov theorem based particle filter
- Adaptive estimation in the nonparametric random coefficients binary choice model by needlet thresholding
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- Identifiability in mixed effects models
- Enhanced Method for Diagnosing Pharmacometric Models
- A Shrinkage-Thresholding Metropolis Adjusted Langevin Algorithm for Bayesian Variable Selection
- Maximum likelihood estimation of a low-order building model
- LP-convergence of a Girsanov theorem based particle filter
- Adaptive estimation in the nonparametric random coefficients binary choice model by needlet thresholding
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography