Bug: rlang::sym() doesn't work for `lm_lin`

[bfifield]

I'm attempting to map() over a series of outcomes and apply lm_lin() to each outcome separately with a uniform set of control variables. However, when I do, I get the error:

Error in `map()`:
ℹ In index: 1.
Caused by error in `sym()`:
! could not find function "sym"
Run `rlang::last_trace()` to see where the error occurred.

This does not happen when using lm_robust(), which runs fine. I've included a reproducible example below:

library(tidyverse)
library(estimatr)

N = 100
df <- data.frame(
  outcome_a = rbinom(N, 1, .5),
  outcome_b = rbinom(N, 1, .5),
  treatment = rbinom(N, 1, .5),
  cov = rbinom(N, 1, .5)
)

outcomes <- c("outcome_a", "outcome_b")

# Works
outcomes |>
  map(
    ~lm_robust(!!sym(.x) ~ treatment + cov, data = df) |> 
      tidy() |>
      mutate(outcome = .x)
  ) |> bind_rows()

# Does not work
outcomes |>
  map(
    ~lm_lin(!!sym(.x) ~ treatment, covariates = ~ cov, data = df) |> 
      tidy() |>
      mutate(outcome = .x)
  ) |> bind_rows()