Multivariate Normal Imputation
mstats: Missing Dataset Statistics
In mtsdi: Multivariate time series data imputation
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Examples
Description
Carry out some statistics from the incomplete dataset
Usage
1
mstats(dataset)
Arguments
dataset
dataset with missing for description
Details
This function computes the proportion of missing observations in a given dataset by rows and columns.
Value
A list containing
rows
number of missing in each row
columns
number of missing in each column
pattern
the pattern of the missing values
Author(s)
Washington Leite Junger wjunger@ims.uerj.br and Antonio Ponce de Leon ponce@ims.uerj.br
See Also
Examples
1
2
mtsdi documentation built on May 30, 2017, 4:42 a.m.
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Description Usage Arguments Details Value Author(s) See Also Examples
Description
Carry out some statistics from the incomplete dataset
Usage
1 | mstats(dataset)
|
Arguments
dataset |
dataset with missing for description |
Details
This function computes the proportion of missing observations in a given dataset by rows and columns.
Value
A list containing
rows |
number of missing in each row |
columns |
number of missing in each column |
pattern |
the pattern of the missing values |
Author(s)
Washington Leite Junger wjunger@ims.uerj.br and Antonio Ponce de Leon ponce@ims.uerj.br
See Also
Examples
1 2 |
mtsdi documentation built on May 30, 2017, 4:42 a.m.
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