ccn,data.frame-method

ccn,matrix-method

ccn,mids-method

An <code>R</code> object. Currently supported are methods for the
following classes: <code>mids</code>, <code>data.frame</code> and <code>matrix</code>. In
addition, <code>x</code> can be a vector of any kind.


Calculates the number of complete cases. The companion function for
calculating the number of incomplete cases is <code>icn()</code>.


univar

Multiple imputation using Fully Conditional Specification (FCS)
implemented by the MICE algorithm. Each variable has its own imputation
model. Built-in imputation models are provided for continuous data
(predictive mean matching, normal), binary data (logistic regression),
unordered categorical data (polytomous logistic regression) and ordered
categorical data (proportional odds). MICE can also impute continuous
two-level data (normal model, pan, second-level variables). Passive
imputation can be used to maintain consistency between variables. Various
diagnostic plots are available to inspect the quality of the imputations.

ccn: Complete cases n

Description

Usage

Arguments

Value

See Also

Examples