bivariate_missingness dataset

Systematic Analysis of Bivariate Missing Data Problems

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 $R_Y$. data

Format

A data frame with 6144 rows and 8 variables:

• graph: the graph of the instance.

• 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. https://arxiv.org/abs/1902.01073

data(bivariate_missingness)