Multivariate Amputation In A MCAR Manner
Appends specified break to the data
Default patterns in ampute
Default type in ampute()
Generate Missing Data for Simulation Purposes
Multivariate Amputation Based On Continuous Probability Functions
Default weights in ampute
Multivariate Amputation Based On Discrete Probability Functions
Default freq in ampute
Default odds in ampute()
Extracts imputed data sets from a mids object
Density plot of observed and imputed data
Extracts fit objects from mira object
Generalized linear model for mids object
Growth of Dutch boys
Box-and-whisker plot of amputed and non-amputed data
Extract broken stick estimates from a lmer object
SE Fireworks disaster data
Multivariate Amputed Data Set (mads)
Select complete cases
Complete case indicator
Influx and outflux of multivariate missing data patterns
Fluxplot of the missing data pattern
Mammal sleep data
Missing data pattern by variable pairs
Missing data pattern
Imputation by linear regression without parameter uncertainty
Check for mads object
Check for mids object
Graphical parameter for missing data plots.
mice : Multivariate Imputation by Chained Equations
Imputation by logistic regression
Imputation by logistic regression using the bootstrap
Multivariate Imputation by Chained Equations (Iteration Step)
Set the theme for the plotting Trellis functions
Cumulative hazard rate or Nelson-Aalen estimator
Converts an multiply imputed dataset (long format) into a mids object
Create a mira object from repeated analyses
Fifth Dutch growth study 2009
NHANES example - all variables numerical
Multiple imputation pooling
Compare two nested models fitted to imputed data
Potthoff-Roy data
Check for mipo object
Check for mira object
Imputation by a two-level normal model using pan
Imputation of the mean within the class
Imputation by Bayesian linear regression
Imputation by linear regression, bootstrap method
Imputation of ordered data by polytomous regression
Print a mids object
Scatterplot of observed and imputed data
Box-and-whisker plot of observed and imputed data
Columnwise combination of a mids object.
Enlarge number of imputations by combining mids objects
Select incomplete cases
Incomplete case indicator
Imputation of unordered data by polytomous regression
Export mids object to SPSS
Multiply imputed pooled analysis (mipo)
Fraction of incomplete cases among cases with observed
Leiden 85+ study
Linear regression for mids object
Imputation by a two-level normal model using lmer
Pooling: R squared
Multiple imputation pooling: univariate version
Summary of a mira object
Imputation by linear regression through prediction
Imputation by the random indicator method for nonignorable data
Imputation by simple random sampling
Multiply imputed data set (mids)
Export mids object to Mplus
Imputation by a two-level normal model
Imputation by classification and regression trees
Imputation by linear discriminant analysis
Passive imputation
Conditional imputation helper
Imputation at level 2 by Bayesian linear regression
Imputation at level 2 by predictive mean matching
Imputation by the mean
Hox pupil popularity data with missing popularity scores
Project on preterm and small for gestational age infants (POPS)
Print a mads object
NHANES example - mixed numerical and discrete variables
Number of incomplete cases
Draws values of beta and sigma by Bayesian linear regression
Quick selection of predictors from the data
Supports semi-transparent foreground colors?
Walking disability data
Subset of Irish wind speed data
Imputation by predictive mean matching
Datasets with various missing data patterns
Rowwise combination of a mids object.
Self-reported and measured BMI
Evaluate an expression in multiple imputed datasets
Imputation by predictive mean matching with distance aided donor selection
Imputation of quadratric terms
Imputation by random forests
Multiply imputed repeated analyses (mira)
Number of complete cases
Scatterplot of amputed and non-amputed data against weighted sum scores
Plot the trace lines of the MICE algorithm
Finds an imputed value from matches in the predictive metric (deprecated)
Squeeze the imputed values to be within specified boundaries.
Stripplot of observed and imputed data
Terneuzen birth cohort
Echoes the package version number