Linear Regression and Logistic Regression with Missing Covariates

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Documentation for package ‘misaem’ version 1.0.1

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

Help Pages

combinations	combinations
imputeEllP	Function for imputing single point for linear regression model
likelihood_saem	likelihood_saem
log_reg	log_reg
louis_lr_saem	louis_lr_saem
miss.glm	Statistical Inference for Logistic Regression Models with Missing Values
miss.glm.control	Auxiliary for Controlling Fitting
miss.glm.fit	Fitting Logistic Regression Models with Missing Values
miss.glm.model.select	miss.glm.model.select
miss.lm	Statistical Inference for Linear Regression Models with Missing Values
miss.lm.control	Auxiliary for Controlling Fitting
miss.lm.fit	Fitting Linear Regression Model with Missing Values
miss.lm.model.select	miss.lm.model.select
predict.miss.glm	Prediction on test with missing values for the logistic regression model.
predict.miss.lm	Prediction on test with missing values for the linear regression model.
print.miss.glm	Print miss.glm
print.miss.lm	Print miss.lm
print.summary.miss.glm	Print Summary of miss.glm
print.summary.miss.lm	Print Summary of miss.lm
summary.miss.glm	Summarizing Fits for miss.glm
summary.miss.lm	Summarizing Fits for miss.lm