Main Effects and Interactions in Mixed and Incomplete Data

Documentation for package ‘mimi’ version 0.2.0

acs2016	Excerpt of the 2016 Public Use American Census Survey (Alabama only)
covmat	construct covariate matrix (predictor matrix) in the right format for input to the mimi or cv.mimi functions from tables of attributes about the rows or columns of data frames.
cv.mimi	selection of the regularization parameters (lambda1 and lambda2) of the mimi function by cross-validation
mimi	main function: low-rank models to analyze and impute mixed and incomplete data frames with numeric, binary and discrete variables, and missing values