Parse Credible Set Correlations from extract_cs_info() Output

This function takes the output from `extract_cs_info()` and expands the `cs_corr` column into multiple columns, preserving the original order of correlations. It also calculates maximum and minimum correlation values for each Credible Set.

Usage

parse_cs_corr(df)

Arguments

df

Data frame. The output from `extract_cs_info()` function, containing a `cs_corr` column with correlation information.

Value

A data frame with the original columns from the input, plus:

cs_corr_1, cs_corr_2, ...

Individual correlation values, with column names based on their position in the original string

cs_corr_max

Maximum absolute correlation value (excluding 1)

cs_corr_min

Minimum absolute correlation value

Details

The function splits the `cs_corr` column, which typically contains correlation values separated by '|', into individual columns. It preserves the order of these correlations, allowing for easy interpretation in a matrix-like format.

Note

- This function converts the input to a data frame if it isn't already one. - It handles cases where correlation values might be missing or not in the expected format. - The function assumes that correlation values of 1 represent self-correlations and excludes these when calculating max and min correlations.