R: Reduced Modeling for Tabular Data with Blockwise Missingness

# Reduced Modeling for Tabular Data with Blockwise Missingness

## Documentation for package ‘blockwise’ version 0.1.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

adult | UCI Adult income classification dataset
bike | Capital Bikeshare hourly demand data
brm | Fit a Blockwise Reduced Modeling (BRM) ensemble
choose_num_blocks | Estimate the number of blocks via the elbow heuristic
house | King County, WA house sales
learner | Learner specification for BRM
learner_gbm | Learner specification for BRM
learner_glm_binomial | Learner specification for BRM
learner_lm | Learner specification for BRM
learner_ranger | Learner specification for BRM
learner_rpart | Learner specification for BRM
predict.brm | Predict from a fitted BRM ensemble
simulate_blockwise_missing | Simulate a blockwise missing pattern on otherwise complete data