Missing Data Imputation for Continuous and Categorical Data using Nonparametric Bayesian Joint Models (MixedDataImpute)
Missing data imputation for continuous and categorical data, using nonparametric Bayesian joint models (specifically the hierarchically coupled mixture model with local dependence described in Murray and Reiter (2015); see ‘citation(‘MixedDataImpute’)’ or http://…/1410.0438). See ‘?hcmm_impute’ for example usage.
Benchmark and Correctness Data for Weighted Random Sampling Without Replacement (wrswoR.benchmark)
Includes performance measurements and results of repeated experiment runs (for correctness checks) for code in the ‘wrswoR’ package.
Infrastructure for Computing with Basis Functions (basefun)
Some very simple infrastructure for basis functions.