sample.data: Sample data set with a monotone missing pattern

In ImputeRobust: Robust Multiple Imputation with Generalized Additive Models for Location Scale and Shape

Description

A simple data set with monotone missing pattern

Format

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

Details

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.

Examples

head(sample.data)

ImputeRobust documentation built on May 2, 2019, 3:27 a.m.