Exponentiation of clmm coefficients in the ordinal package

[orvaquim]

I think there is a small bug in the model_parameters() for clmm (from ordinal package). It seems to be insensitive to exponentiate = TRUE.
The clmm fits a mixed-effects proportional odds model. So exponentiation of the coefficients here is an odds-ratio. Here is an example:

 library(ordinal)
library(parameters)

mox <- clmm(rating ~temp + contact + (1|judge), data = wine)

> model_parameters(mox, exponentiate = FALSE)
# Fixed Effects 

Parameter     | Log-Odds |   SE |         95% CI |     z |      p
-----------------------------------------------------------------
1|2           |    -1.62 | 0.68 | [-2.96, -0.29] | -2.38 | 0.017 
2|3           |     1.51 | 0.60 | [ 0.33,  2.70] |  2.51 | 0.012 
3|4           |     4.23 | 0.81 | [ 2.64,  5.81] |  5.23 | < .001
4|5           |     6.09 | 0.97 | [ 4.18,  7.99] |  6.26 | < .001
temp [warm]   |     3.06 | 0.60 | [ 1.90,  4.23] |  5.14 | < .001
contact [yes] |     1.83 | 0.51 | [ 0.83,  2.84] |  3.58 | < .001

> model_parameters(mox, exponentiate = TRUE)
# Fixed Effects 

Parameter     | Odds Ratio |   SE |         95% CI |     z |      p
-------------------------------------------------------------------
1|2           |      -1.62 | 0.68 | [-2.96, -0.29] | -2.38 | 0.017 
2|3           |       1.51 | 0.60 | [ 0.33,  2.70] |  2.51 | 0.012 
3|4           |       4.23 | 0.81 | [ 2.64,  5.81] |  5.23 | < .001
4|5           |       6.09 | 0.97 | [ 4.18,  7.99] |  6.26 | < .001
temp [warm]   |       3.06 | 0.60 | [ 1.90,  4.23] |  5.14 | < .001
contact [yes] |       1.83 | 0.51 | [ 0.83,  2.84] |  3.58 | < .001

Although it changes the heading, the coefficients are not exponentiated at all.