Compare two nested models using D1-statistic
Default freq
in ampute
Default odds
in ampute()
Default type
in ampute()
Compare two nested models using D2-statistic
Default weights
in ampute
Default patterns
in ampute
Compare two nested models using D3-statistic
Multivariate Amputation Based On Continuous Probability Functions
Generate Missing Data for Simulation Purposes
Multivariate Amputation Based On Discrete Probability Functions
Converts an multiply imputed dataset (long format) into a mids
object
Create a mira
object from repeated analyses
Appends specified break to the data
Compare several nested models
Multivariate Amputation In A MCAR Manner
Employee selection data
Computes least squares parameters
Converts into a mitml.result
object
Combine mids
objects by columns
Growth of Dutch boys
Select complete cases
Combine R Objects by Rows and Columns
Extends a formula with predictors
Box-and-whisker plot of observed and imputed data
Density plot of observed and imputed data
Construct blocks from formulas
and predictorMatrix
Fluxplot of the missing data pattern
Box-and-whisker plot of amputed and non-amputed data
Brandsma school data used Snijders and Bosker (2012)
Extract broken stick estimates from a lmer
object
Complete case indicator
SE Fireworks disaster data
Fifth Dutch growth study 2009
Fraction of incomplete cases among cases with observed
Enlarge number of imputations by combining mids
objects
Incomplete case indicator
Extends formula's with predictor matrix settings
Check for mipo
object
Check for mira
object
Creates a blocks
argument
Conditional imputation helper
Extract estimate from mipo
object
Extracts the completed data from a mids
object
Generalized linear model for mids
object
Creates a blots
argument
Creates a formulas
argument
Extract list of fitted model
Select incomplete cases
Check for mitml.result
object
Leiden 85+ study
Imputation by a two-level normal model using lmer
Graphical parameter for missing data plots.
Missing data pattern
Imputation by linear discriminant analysis
Fix coefficients and update model
Influx and outflux of multivariate missing data patterns
Check for mids
object
Check for mads
object
Creates a post
argument
Imputation by linear regression, bootstrap method
Imputation by logistic regression
Imputation by a two-level normal model using pan
Imputation by predictive mean matching with distance aided donor selection
Linear regression for mids
object
Imputation of the mean within the class
Imputation by a two-level normal model
Creates a visitSequence
argument
Creates a method
argument
Creates a where
argument
mice : Multivariate Imputation by Chained Equations
Multivariate Amputed Data Set (mads
)
Imputation by linear regression without parameter uncertainty
Imputation of quadratic terms
Imputation by random forests
Imputation by the random indicator method for nonignorable data
Number of imputations per block
Imputation by simple random sampling
Draws values of beta and sigma by Bayesian linear regression
Imputation by Bayesian linear regression
Datasets with various missing data patterns
Wrapper function that runs MICE in parallel
Imputation by a two-level logistic model using glmer
Imputation at level 2 by Bayesian linear regression
Imputation at level 2 by predictive mean matching
Imputation by logistic regression using the bootstrap
Imputation by predictive mean matching
Set the theme for the plotting Trellis functions
Passive imputation
NHANES example - mixed numerical and discrete variables
Multivariate Imputation by Chained Equations (Iteration Step)
Summary of a mira
object
Supports semi-transparent foreground colors?
Squeeze the imputed values to be within specified boundaries.
Stripplot of observed and imputed data
Imputation by the mean
Creates a predictorMatrix
argument
Imputation by classification and regression trees
Imputation by linear regression through prediction
Toenail data
Terneuzen birth cohort
NHANES example - all variables numerical
Export mids
object to Mplus
Impute multilevel missing data using pan
Finds an imputed value from matches in the predictive metric (deprecated)
Multiply imputed data set (mids
)
Cumulative hazard rate or Nelson-Aalen estimator
Plot the trace lines of the MICE algorithm
Number of incomplete cases
Combine estimates by Rubin's rules
Mammal sleep data
Compare two nested models fitted to imputed data
Scatterplot of amputed and non-amputed data against weighted sum scores
Scatterplot of observed and imputed data
Imputation of unordered data by polytomous regression
Missing data pattern by variable pairs
Name imputation blocks
Imputation of ordered data by polytomous regression
Multiply imputed repeated analyses (mira
)
Export mids
object to SPSS
mipo
: Multiple imputation pooled object
Multivariate multilevel imputation using jomo
Pooling: R squared
Echoes the package version number
Potthoff-Roy data
Walking disability data
Print a mids
object
Project on preterm and small for gestational age infants (POPS)
Combine mids
objects by rows
Name formula list elements
Hox pupil popularity data with missing popularity scores
Number of complete cases
Evaluate an expression in multiple imputed datasets
Self-reported and measured BMI
Subset of Irish wind speed data
Multiple imputation pooling: univariate version
Print a mads
object
Quick selection of predictors from the data