Description Format Details Examples

A simple data set with monotone missing pattern

A data frame with 200 rows on the following 5 variables

- X.1
Numeric variable from a Normal distribution

- X.2
Count data from a Poisson distribution

- X.3
Numeric variable from a Normal distribution

- X.4
Binary variable from a Binomial distribution

- y
Response variable

Sample data set with four predictors and a dependent variable. A missing monotone pattern was generated in three predictors to illustrate the gamlss imputation method.

For the data generation process a parameter beta equal to
`c(1.3, .8, 1.5, 2.5)`

and a predictor matrix ```
X <-
cbind(X.1, X.2, X.3, X.4)
```

are defined. Then, the sample data set
is created with the model `y ~ X.1 + X.2 + X.3 + X.4`

.

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