mvls.Mclust: mvls.Mclust
In helpstatanalysis/mvls: Missing Values in Longitudinal Studies
Description
Usage
Arguments
Value
Author(s)
Description
Takes a longitudinal dataset and impute missing value with Mclust machine learning-based method.
Usage
1
mvls.Mclust(data, imp.method = "mean", G = 1:9)
Arguments
data
A dataset (more than two longitudinal mesurements)
imp.method
Type od pre-imputation. Mclust doesn't use missing value. Possible "mean" or "locf".
G
The vector of possible cluster
Value
$data It's the data-set with imputation
$Mclust It's a Mclust object
$sd.1 It contains the sd for each data imputed at single imputation method
Author(s)
Lorenzo Querci <lorenzo.querci@studio.unibo.it>
helpstatanalysis/mvls documentation built on May 13, 2019, 3 a.m.
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Description Usage Arguments Value Author(s)
Description
Takes a longitudinal dataset and impute missing value with Mclust machine learning-based method.
Usage
1 | mvls.Mclust(data, imp.method = "mean", G = 1:9)
|
Arguments
data |
A dataset (more than two longitudinal mesurements) |
imp.method |
Type od pre-imputation. Mclust doesn't use missing value. Possible "mean" or "locf". |
G |
The vector of possible cluster |
Value
$data It's the data-set with imputation
$Mclust It's a Mclust object
$sd.1 It contains the sd for each data imputed at single imputation method
Author(s)
Lorenzo Querci <lorenzo.querci@studio.unibo.it>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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