Missing interpretation for fei effect size

[rempsyc]

library(effectsize)
packageVersion("effectsize")
#> [1] '0.8.6'

htest <- chisq.test(table(mtcars$cyl), p = c(0.1, 0.3, 0.6))
#> Warning in chisq.test(table(mtcars$cyl), p = c(0.1, 0.3, 0.6)): Chi-squared
#> approximation may be incorrect

x <- effectsize(htest)

effectsize::interpret(x, rules = "funder2019")$Interpretation
#> NULL

effectsize::interpret(x, rules = "funder2019")
#> Fei  |       95% CI
#> -------------------
#> 0.27 | [0.17, 1.00]
#> 
#> - Adjusted for uniform expected probabilities.
#> - One-sided CIs: upper bound fixed at [1.00].

^{Created on 2023-09-23 with reprex v2.0.2}