Package index • fusionModel

All functions

analyze(): Analyze fusion output

analyze_fusionACS(): Analyze fusionACS microdata

assemble(): Assemble fusionACS microdata across surveys

fuse(): Fuse variables to a recipient dataset

fusionOutput(): Generate output files resulting from fusion

importance(): Extract predictor variable importance from a fusion model

impute(): Impute missing data via fusion

monotonic(): Create a monotonic relationship between two variables

plot_valid(): Plot validation results

prepXY(): Prepare the 'x' and 'y' inputs

read_fsd(): Read fusion output from disk

recs: Data from the 2015 Residential Energy Consumption Survey (RECS)

train(): Train a fusion model

validate(): Validate fusion output