bivariate_missingness {dosearch} | R Documentation |

## Systematic Analysis of Bivariate Missing Data Problems

### Description

This data set contains the results of a systematic analysis of all missing data problems of two variables. Each problem is associated with a graph containing two vertices, `X`

and `Y`

, and their response indicators, R_{X} and R_{Y}.

### Usage

`data(bivariate_missingness)`

### Format

A data frame with 6144 rows and 8 variables:

- graph
the graph of the instance, see `get_derivation`

for more details on the syntax

- nedges
number of edges in the graph (directed and bidirected)

- arrowXtoY
whether the graph contains an arrow from `X`

to `Y`

or not

- jointXY
identifiability of the joint distribution of `X`

and `Y`

- marginX
identifiability of the marginal distribution of `X`

- marginY
identifiability of the marginal distribution of `Y`

- YcondX
identifiability of the conditional distribution of `Y`

given `X`

- YdoX
identifiability of the causal effect of `X`

on `Y`

### Source

Tikka et. al. (2019) <arXiv:1902.01073>

[Package

*dosearch* version 1.0.8

Index]