NEWS.md

In shangzhi-hong/RfEmpImp: Multiple Imputation using Chained Random Forests

RfEmpImp 2.1.8

• Documentation fixes for CRAN checks

RfEmpImp 2.1.6

• Update documentations

RfEmpImp 2.1.5

• Add new wrapper function to recover dependency on ranger (>= 0.12.1) and to fix parameter passing
• New independent mice.impute.rfpred.norm function, and thus simplified mice.impute.rfpred.emp function
• Bypass collinearity and constant checks in mice for imp.* functions
• Add support for imputation using samples of classification trees predictions for prediction-based imputation (RfPred-Cate)
• Add new function query.rf.pred.idx for querying observation IDs associated with the terminal nodes
• Add new function query.rf.pred.val for querying observed values associated with the terminal nodes
• Add new function conv.factor for converting variables
• Update dependency for mice (>= 3.9.0) to avoid collinearity checks during imputation
• Update documentations

RfEmpImp 2.0.3

• Update documentation for initial CRAN release
• Add logo file

RfEmpImp 2.0.0

• Add support for imputation using predicting nodes of random forests

RfEmpImp 1.0.1

• First public release on GitHub
• Unit tests ready

shangzhi-hong/RfEmpImp documentation built on Nov. 3, 2022, 10:47 p.m.