Distributed Linear Regression Models with Response Missing Variables

Documentation for package ‘DLMRMV’ version 1.0.0

AVGM	Averaged Generalized Method of Moments Imputation (AVGM)
CSLMI	CSLMI: Consensus-based Stochastic Linear Multiple Imputation (Simplified Version)
DAVGMMI	Impute Missing Values in Response Variable Y Using Distributed AVGMMI Method (With Grouping)
DCSLMI	Distributed and Consensus-Based Stochastic Linear Multiple Imputation (DCSLMI)
DERLS	Distributed Exponentially Weighted Recursive Least Squares (DERLS)
DERLS_InfoFilter	Distributed Exponentially Weighted Recursive Least Squares (DERLS) using Information Filter
DERLS_Woodbury	Distributed Exponentially Weighted Recursive Least Squares (DERLS) using Woodbury Identity
DfiMI	Distributed Full-information Multiple Imputation (DfiMI)
DfiMI_lasso	Distributed Full-information Multiple Imputation (DfiMI) using LASSO
DMCEM	Distributed Monte Carlo Expectation-Maximization (DMCEM) Algorithm
EMRE	EM Algorithm for Linear Regression with Missing Data
ERLS	Exponentially Weighted Recursive Least Squares with Missing Value Imputation
fiMI	fiMI: Predict Missing Response Variables using Multiple Imputation
FimIMI	FimIMI: Multiple Runs of Improved Multiple Imputation (IMI)
GMD	Generate Missing Data function
IMI	Improved Multiple Imputation (IMI) Estimation
LS	Least Squares Estimation for Grouped Data with Ridge Regularization
MCEM	MCEM Algorithm for Missing Response Variables
PMMI	Predictive Mean Matching with Multiple Imputation
PPLS	Penalized Partial Least Squares (PPLS) Estimation