Missing Data Imputation and Model Checking

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Documentation for package ‘mi’ version 0.04-6

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B C D F G I L M P R S T U

-- B --

bayesglm.mi Generalized Linear Modeling Function for Multiply Imputed Dataset
bugs.mi Multiple Iterative Regression Imputation
bugs.mi,mi-method Multiple Iterative Regression Imputation

-- C --

call.mi Multiple Iterative Regression Imputation
call.mi,mi-method Multiple Iterative Regression Imputation
CHAIN Subset of variables from the CHAIN project, a longitudinal cohort study of people living with HIV in New York City.
coef,mi.glm-method Generalized Linear Modeling Function for Multiply Imputed Dataset
coef,mi.lm-method Linear Regression Function for Multiply Imputed Dataset
coef,mi.mer-method Fit A Linear Mixed Model or A Generalized Linear Mixed Model for Multiply Imputed Dataset
coef,mi.method-method Virtual class for all mi classes.
coefficients,mi.glm-method Generalized Linear Modeling Function for Multiply Imputed Dataset
coefficients,mi.lm-method Linear Regression Function for Multiply Imputed Dataset
coefficients,mi.mer-method Fit A Linear Mixed Model or A Generalized Linear Mixed Model for Multiply Imputed Dataset
coefficients,mi.method-method Virtual class for all mi classes.
conv.plot Convergence Plot of mi Object
converged Multiple Iterative Regression Imputation
converged,mi-method Multiple Iterative Regression Imputation
convergence.plot Convergence Plot of mi Object

-- D --

data.mi Multiple Iterative Regression Imputation
data.mi,mi-method Multiple Iterative Regression Imputation
display,mi.glm-method Generalized Linear Modeling Function for Multiply Imputed Dataset
display,mi.lm-method Linear Regression Function for Multiply Imputed Dataset
display,mi.mer-method Fit A Linear Mixed Model or A Generalized Linear Mixed Model for Multiply Imputed Dataset

-- F --

fitted,mi.method-method Virtual class for all mi classes.

-- G --

glm.mi Generalized Linear Modeling Function for Multiply Imputed Dataset
glmer.mi Fit A Linear Mixed Model or A Generalized Linear Mixed Model for Multiply Imputed Dataset

-- I --

imp Multiple Iterative Regression Imputation
imp,mi-method Multiple Iterative Regression Imputation
imp.mi Multiple Iterative Regression Imputation
imp.mi,mi-method Multiple Iterative Regression Imputation
imputed Virtual class for all mi classes.
imputed,mi.categorical-method Virtual class for all mi classes.
imputed,mi.method-method Virtual class for all mi classes.
imputed,mi.polr-method Virtual class for all mi classes.
info.mi Multiple Iterative Regression Imputation
info.mi,mi-method Multiple Iterative Regression Imputation
is.mi Multiple Iterative Regression Imputation
is.mi,mi-method Multiple Iterative Regression Imputation
is.mi.info Function to create information matrix for missing data imputation

-- L --

lm.mi Linear Regression Function for Multiply Imputed Dataset
lmer.mi Fit A Linear Mixed Model or A Generalized Linear Mixed Model for Multiply Imputed Dataset

-- M --

m Multiple Iterative Regression Imputation
m,mi-method Multiple Iterative Regression Imputation
marginal.scatterplot Multiple Imputation Scatterplot
mi Multiple Iterative Regression Imputation
mi,data.frame-method Multiple Iterative Regression Imputation
mi,mi-method Multiple Iterative Regression Imputation
mi-class Multiple Iterative Regression Imputation
mi.categorical Elementary function: multinomial log-linear models to impute a categorical variable.
mi.categorical-class Elementary function: multinomial log-linear models to impute a categorical variable.
mi.completed Multiple Imputed Dataframes
mi.completed,mi-method Multiple Imputed Dataframes
mi.continuous Elementary function: linear regression to impute a continuous variable.
mi.continuous-class Elementary function: linear regression to impute a continuous variable.
mi.copy Elementary function: imputation of constant variable.
mi.copy-class Elementary function: imputation of constant variable.
mi.count Elementary function: Bayesian overdispersed poisson regression to impute a count variable.
mi.count-class Elementary function: Bayesian overdispersed poisson regression to impute a count variable.
mi.data.frame Multiple Imputed Dataframes
mi.data.frame,mi-method Multiple Imputed Dataframes
mi.dichotomous Elementary function: Bayesian logistic regression to impute a dichotomous variable.
mi.dichotomous-class Elementary function: Bayesian logistic regression to impute a dichotomous variable.
mi.fixed Elementary function: imputation of constant variable.
mi.fixed-class Elementary function: imputation of constant variable.
mi.glm-class Generalized Linear Modeling Function for Multiply Imputed Dataset
mi.hist Multiple Imputation Histogram
mi.hist,ANY,ANY-method Multiple Imputation Histogram
mi.hist,ANY-method Multiple Imputation Histogram
mi.hist,mi.categorical,ANY-method Multiple Imputation Histogram
mi.hist,mi.categorical-method Multiple Imputation Histogram
mi.hist,mi.dichotomous,ANY-method Multiple Imputation Histogram
mi.hist,mi.dichotomous-method Multiple Imputation Histogram
mi.hist,mi.method,ANY-method Multiple Imputation Histogram
mi.hist,mi.method-method Multiple Imputation Histogram
mi.hist,mi.pmm,ANY-method Multiple Imputation Histogram
mi.hist,mi.pmm-method Multiple Imputation Histogram
mi.hist,mi.polr,ANY-method Multiple Imputation Histogram
mi.hist,mi.polr-method Multiple Imputation Histogram
mi.info Function to create information matrix for missing data imputation
mi.info-class Function to create information matrix for missing data imputation
mi.info.fix Function to create information matrix for missing data imputation
mi.info.update function to update mi.info object to use for multiple imputation
mi.info.update.determ.pred function to update mi.info object to use for multiple imputation
mi.info.update.imp.formula function to update mi.info object to use for multiple imputation
mi.info.update.imp.order function to update mi.info object to use for multiple imputation
mi.info.update.include function to update mi.info object to use for multiple imputation
mi.info.update.is.ID function to update mi.info object to use for multiple imputation
mi.info.update.level function to update mi.info object to use for multiple imputation
mi.info.update.other function to update mi.info object to use for multiple imputation
mi.info.update.params function to update mi.info object to use for multiple imputation
mi.info.update.transform function to update mi.info object to use for multiple imputation
mi.info.update.type function to update mi.info object to use for multiple imputation
mi.interactive Function to create information matrix for missing data imputation
mi.lm-class Linear Regression Function for Multiply Imputed Dataset
mi.mer-class Fit A Linear Mixed Model or A Generalized Linear Mixed Model for Multiply Imputed Dataset
mi.method Virtual class for all mi classes.
mi.method-class Virtual class for all mi classes.
mi.pmm Elementary function: Probability Mean Matching for imputation.
mi.pmm-class Elementary function: Probability Mean Matching for imputation.
mi.polr Elementary function: multinomial log-linear models to impute a ordered categorical variable.
mi.polr-class Elementary function: multinomial log-linear models to impute a ordered categorical variable.
mi.postprocess Preproessing and Postprocessing mi data object
mi.preprocess Preproessing and Postprocessing mi data object
mi.scatterplot Multiple Imputation Scatterplot
mi.types Functions to identify types of the models of the mi object
missing.pattern.plot Missing Pattern Plot
mp.plot Missing Pattern Plot

-- P --

plot Diagnostic Plots for multiple imputation object
plot,mi,missing-method Diagnostic Plots for multiple imputation object
plot,mi.categorical,ANY-method Elementary function: multinomial log-linear models to impute a categorical variable.
plot,mi.dichotomous,ANY-method Elementary function: Bayesian logistic regression to impute a dichotomous variable.
plot,mi.method,ANY-method Virtual class for all mi classes.
plot,mi.polr,ANY-method Elementary function: multinomial log-linear models to impute a ordered categorical variable.
plot.mi Diagnostic Plots for multiple imputation object
print,mi-method Multiple Iterative Regression Imputation
print,mi.info-method Function to create information matrix for missing data imputation
print,mi.method-method Virtual class for all mi classes.
print.mi.glm Generalized Linear Modeling Function for Multiply Imputed Dataset
print.mi.lm Linear Regression Function for Multiply Imputed Dataset
print.mi.mer Fit A Linear Mixed Model or A Generalized Linear Mixed Model for Multiply Imputed Dataset
prior.control Auxiliary for Adding Priors to Missing Data Imputation

-- R --

random.imp Random Imputation of Missing Data
resid,mi.categorical-method Elementary function: multinomial log-linear models to impute a categorical variable.
resid,mi.count-method Elementary function: Bayesian overdispersed poisson regression to impute a count variable.
resid,mi.dichotomous-method Elementary function: Bayesian logistic regression to impute a dichotomous variable.
resid,mi.method-method Virtual class for all mi classes.
resid,mi.polr-method Elementary function: multinomial log-linear models to impute a ordered categorical variable.
residuals,mi.categorical-method Elementary function: multinomial log-linear models to impute a categorical variable.
residuals,mi.count-method Elementary function: Bayesian overdispersed poisson regression to impute a count variable.
residuals,mi.dichotomous-method Elementary function: Bayesian logistic regression to impute a dichotomous variable.
residuals,mi.method-method Virtual class for all mi classes.
residuals,mi.polr-method Elementary function: multinomial log-linear models to impute a ordered categorical variable.

-- S --

se.coef,mi.glm-method Generalized Linear Modeling Function for Multiply Imputed Dataset
se.coef,mi.lm-method Linear Regression Function for Multiply Imputed Dataset
se.coef,mi.mer-method Fit A Linear Mixed Model or A Generalized Linear Mixed Model for Multiply Imputed Dataset
show,mi-method Multiple Iterative Regression Imputation
show,mi.info-method Function to create information matrix for missing data imputation
sigma.hat,mi.method-method Virtual class for all mi classes.

-- T --

type.models Functions to identify types of the models of the mi object
typecast Variables type
typecast,ANY-method Variables type
typecast,data.frame-method Variables type
typecast,list-method Variables type
typecast,matrix-method Variables type

-- U --

update.mi.info function to update mi.info object to use for multiple imputation