Bug Description

model_parameters() throws an error when applied to a fisher.test() object generated from a contingency table larger than 2x2.

While 2x2 tables generate an odds ratio and run successfully, larger tables do not compute an odds ratio. This results in a mismatched row error when the function attempts to build the summary table.

Reproducible Example

library(parameters) # 2x2 table works (produces an odds ratio) fisher.test(mtcars$am, mtcars$vs) |> model_parameters() #> Fisher's Exact Test for Count Data #>  #> Odds Ratio | 95% CI | p #> ---------------------------------- #> 1.96 | [0.38, 10.59] | 0.473 #>  #> Alternative hypothesis: true odds ratio is not equal to 1 # 3x3 table fails (no odds ratio produced) fisher.test(mtcars$cyl, mtcars$gear) |> model_parameters() #> Error in `data.frame()`: #> ! arguments imply differing number of rows: 0, 1

^{Created on 2026-03-06 with reprex v2.1.1}

Expected Behavior

The function should handle this missing data gracefully. It would be highly helpful if it either returned the p-value with NA for missing statistics (similar to broom::tidy()), or returned an informative error message explaining that odds ratios are not supported for Fisher's Exact Test on tables larger than 2x2.