m |
Multiple Iterative Regression Imputation |
m,mi-method |
Multiple Iterative Regression Imputation |
marginal.scatterplot |
Multiple Imputation Scatterplot |
mi |
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 |
Multiply Imputed Dataframe or Matrix
|
mi.completed,mi-method |
Multiply Imputed Dataframe or Matrix
|
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.data.frame |
Multiply Imputed Dataframe or Matrix
|
mi.data.frame,mi-method |
Multiply Imputed Dataframe or Matrix
|
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.mixed,ANY-method |
Multiple Imputation Histogram
|
mi.hist,mi.mixed-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.hist,mi.sqrtcontinuous,ANY-method |
Multiple Imputation Histogram
|
mi.hist,mi.sqrtcontinuous-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.logcontinuous |
Elementary function: linear regression to impute a continuous positive variable.
|
mi.logcontinuous-class |
Elementary function: linear regression to impute a continuous positive variable.
|
mi.matrix |
Multiply Imputed Dataframe or Matrix
|
mi.matrix,mi-method |
Multiply Imputed Dataframe or Matrix
|
mi.method |
Virtual class for all mi classes.
|
mi.method-class |
Virtual class for all mi classes.
|
mi.mixed |
Two-stage elementary function: linear regression to impute a variable that can be positive or zero. |
mi.mixed-class |
Two-stage elementary function: linear regression to impute a variable that can be positive or zero. |
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.scatterplot |
Multiple Imputation Scatterplot |
mi.sqrtcontinuous |
Elementary function: linear regression to impute a continuous positive variable.
|
mi.sqrtcontinuous-class |
Elementary function: linear regression to impute a continuous positive variable.
|
mi.start |
Starting value from mi.method objec class. |
mi.start,mi.method-method |
Starting value from mi.method objec class. |
mi.start,mi.mixed-method |
Starting value from mi.method objec class. |
mi.types |
Functions to identify types of the models of the mi object |
missing.pattern.plot |
Missing Pattern Plot |
mp.plot |
Missing Pattern Plot |