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Forward Imputation of missing data
● Data Source:
CranContrib
● Keywords: datagen, multivariate
● Alias: ForImp
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Listwise deletion
● Data Source:
CranContrib
● Keywords: datagen, multivariate
● Alias: ld
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The function calculates the cosine of the angle between two vectors, defined as the inner product of the vectors divided by the product of their euclidean norms
● Data Source:
CranContrib
● Keywords: datagen, multivariate
● Alias: vcosw
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Mean imputation
● Data Source:
CranContrib
● Keywords: datagen, multivariate
● Alias: meanimp
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The function transforms a matrix of continuous numerical values into a matrix of integer (ordinal) values, with uniform marginal distributions and the desired number of categories
● Data Source:
CranContrib
● Keywords: datagen, multivariate
● Alias: transfmatcat
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Median imputation
● Data Source:
CranContrib
● Keywords: datagen, multivariate
● Alias: medianimp
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The function generates a random matrix of integer (ordinal) variables, with independent and uniform marginal distributions
● Data Source:
CranContrib
● Keywords: datagen, multivariate
● Alias: rancatmat
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The package contains a function for the imputation of missing values in matrices of ordinal data, called Forward Imputation, and other functions for generating ordinal data or imputing missing values.
● Data Source:
CranContrib
● Keywords: package
● Alias: ForImp-package
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Summary for the missing values in a matrix
● Data Source:
CranContrib
● Keywords: datagen, multivariate
● Alias: missingness
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Random generation of missing values in matrices of numerical data or preferably categorical data coded as integers
● Data Source:
CranContrib
● Keywords: datagen, multivariate
● Alias: missingmat
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providing 
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