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2 changes: 1 addition & 1 deletion DESCRIPTION
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Package: miceFast
Title: Fast Imputations Using 'Rcpp' and 'Armadillo'
Version: 0.9.1
Version: 0.9.1.9000
Authors@R: person("Maciej", "Nasinski", email = "nasinski.maciej@gmail.com", role = c("aut", "cre"))
Description:
Fast imputations under the object-oriented programming paradigm.
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4 changes: 4 additions & 0 deletions NEWS.md
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# miceFast 0.9.1.9000

* Update the Little test description in the missing data and imputation vignette.

# miceFast 0.9.1

## Bug fixes
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9 changes: 5 additions & 4 deletions vignettes/missing-data-and-imputation.Rmd
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Expand Up @@ -76,11 +76,12 @@ $Y_{mis}$ are the missing values.
to the measurements.

**Testing for MCAR:**
MCAR is the only mechanism that can be tested from the observed data.

Little's (1988) test compares the means of observed values across
different missingness patterns; a significant result rejects MCAR.
However, failure to reject does not prove MCAR. The test has limited
power, especially with small samples or few patterns. It is a necessary
different missingness patterns. The failure to reject does not prove MCAR.
The Little's test is not a satisfactory way to determine if a missingness is MCAR.
For example, in the case of omitted variables. We always have to understand the missingness process.
Moreover, the test has limited power, especially with small samples or few patterns. It is a necessary
check, not a sufficient one.

**Implications:**
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