Last data update: 2014.03.03

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Results 1 - 10 of 77 found.
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ic (Package: mice) : Incomplete cases

Extracts incomplete cases from a data set. Missing values in x are coded as NA. The companion function for selecting the complete cases is cc().
● Data Source: CranContrib
● Keywords: univar
● Alias: ic, ic,data.frame-method, ic,matrix-method, ic,mids-method
● 0 images

md.pattern (Package: mice) : Missing data pattern

Display missing-data patterns.
● Data Source: CranContrib
● Keywords: univar
● Alias: md.pattern
● 0 images

mice.impute.sample (Package: mice) : Imputation by simple random sampling

Imputes a random sample from the observed y data
● Data Source: CranContrib
● Keywords: datagen
● Alias: mice.impute.sample
● 0 images

mice.impute.lda (Package: mice) : Imputation by linear discriminant analysis

Imputes univariate missing data using linear discriminant analysis
● Data Source: CranContrib
● Keywords: datagen
● Alias: mice.impute.lda
● 0 images

pool (Package: mice) : Multiple imputation pooling

Pools the results of m repeated complete data analysis
● Data Source: CranContrib
● Keywords: htest
● Alias: pool
● 0 images

mice.theme (Package: mice) : Set the theme for the plotting Trellis functions

The mice.theme() function sets default choices for Trellis plots that are built into mice.
● Data Source: CranContrib
● Keywords:
● Alias: mice.theme
● 0 images

mice.impute.norm.boot (Package: mice) : Imputation by linear regression, bootstrap method

Imputes univariate missing data using linear regression with boostrap
● Data Source: CranContrib
● Keywords: datagen
● Alias: mice.impute.norm.boot, norm.boot
● 0 images

mice.impute.fastpmm (Package: mice) : Imputation by fast predictive mean matching

Imputes univariate missing data using fast predictive mean matching
● Data Source: CranContrib
● Keywords: datagen
● Alias: fastpmm, mice.impute.fastpmm
● 0 images

mids-class (Package: mice) : Multiply imputed data set (code{mids

The mids object contains a multiply imputed data set. The mids object is generated by the mice() and mice.mids() functions. The mids class of objects has methods for the following generic functions: print, summary, plot.
● Data Source: CranContrib
● Keywords: classes
● Alias: mids, mids-class
● 0 images

complete (Package: mice) : Creates imputed data sets from a code{mids

Takes an object of class mids, fills in the missing data, and returns the completed data in a specified format.
● Data Source: CranContrib
● Keywords: manip
● Alias: complete
● 0 images