`tidy.rms` for `rms::orm` ordinal regression?

[jarbet]

I can't get tidy.rms to work with rms::orm for ordinal logistic regression. I'm having a had time trying to manually extract the standard errors and pvalues myself too.

suppressPackageStartupMessages({
    library(rms);
    library(broom);
    library(Greg);
    });

dd <- datadist(mtcars);
options(datadist = 'dd');

fit <- rms::orm(
    # note rms::orm is designed to work with continuous/numeric outcomes too,
    # it can be viewed as a covariate-adjusted version of Wilcoxon rank-sum test
    formula = mpg ~ am,
    data = mtcars,
    se.fit = TRUE
    );
tidy(fit)
#> Error in `tibble()`:
#> ! Tibble columns must have compatible sizes.
#> • Size 25: Existing data.
#> • Size 2: Column `std.error`.
#> ℹ Only values of size one are recycled.

^{Created on 2025-08-25 with reprex v2.1.1}