Using variables inside function R. Error in is_data_pronoun(expr) - r

Question

I have created a function in R and have been using it in research for well over a month now. This function I have created takes use of the embrace operator {{. The purpose of the function isn't really important, but basically at the beginning of my function I created a tibble from the data given in which I use through the function.
f <- function(data, x, y, z){
tb <- data %>%
transmute("var1" = {{x}},
"var2" = {{y}},
"var3" = {{z}})
# Do some stuff with tb
return(tb)
}
My data lets call df already has the variable names x, y, and z so I have been able to just use function by just putting in the data name as shown below.
df <- tibble("x" = 1:3,
"y" = 4:6,
"z" = 7:9)
f(data = df)
> output
However, today I installed tidymodels and right after I installed it I have been getting an error.
f(data = df)
>Error in is_data_pronoun(expr) :
argument "expr" is missing, with no default
It seems to fix this error all I have to do is give the variables names in the function and it works as show below.
f(data = df, x = x, y = y, z = z)
># A tibble: 3 x 3
var1 var2 var3
<int> <int> <int>
1 1 4 7
2 2 5 8
3 3 6 9
This is kinda annoying as now I would have to go all throughout my file when I use the function and put x = x, y = y, z = z in the function. Does anyone have any idea why I am getting this error and why it all the sudden as come up and how to fix it? I am planning on publishing the function for others to use so thats why I'm using the {{. I have also already completely uninstalled R and all my packages and reinstalled what I was using except for tidymodels and am still getting the error. My guess is it has something to do with updated version of dplyr?
Here is my session info
> sessionInfo()
R version 4.1.3 (2022-03-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 22000)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] tseries_0.10-50 knitr_1.38
[3] tidyquant_1.0.3 quantmod_0.4.18
[5] TTR_0.24.3 PerformanceAnalytics_2.0.4
[7] xts_0.12.1 zoo_1.8-9
[9] lubridate_1.8.0 forecast_8.16
[11] timetk_2.8.0 forcats_0.5.1
[13] stringr_1.4.0 dplyr_1.0.8
[15] purrr_0.3.4 readr_2.1.2
[17] tidyr_1.2.0 tibble_3.1.6
[19] ggplot2_3.3.5 tidyverse_1.3.1
loaded via a namespace (and not attached):
[1] colorspace_2.0-3 ggsignif_0.6.3 ellipsis_0.3.2 class_7.3-20
[5] fs_1.5.2 rstudioapi_0.13 ggpubr_0.4.0 listenv_0.8.0
[9] furrr_0.2.3 prodlim_2019.11.13 fansi_1.0.3 xml2_1.3.3
[13] codetools_0.2-18 splines_4.1.3 jsonlite_1.8.0 broom_0.7.12
[17] dbplyr_2.1.1 compiler_4.1.3 httr_1.4.2 backports_1.4.1
[21] assertthat_0.2.1 Matrix_1.4-0 fastmap_1.1.0 cli_3.2.0
[25] htmltools_0.5.2 tools_4.1.3 gtable_0.3.0 glue_1.6.2
[29] Rcpp_1.0.8.3 carData_3.0-5 cellranger_1.1.0 fracdiff_1.5-1
[33] vctrs_0.4.0 urca_1.3-0 nlme_3.1-155 lmtest_0.9-40
[37] timeDate_3043.102 gower_1.0.0 xfun_0.30 globals_0.14.0
[41] rvest_1.0.2 lifecycle_1.0.1 rstatix_0.7.0 future_1.24.0
[45] MASS_7.3-55 scales_1.1.1 ipred_0.9-12 hms_1.1.1
[49] parallel_4.1.3 yaml_2.3.5 curl_4.3.2 rpart_4.1.16
[53] stringi_1.7.6 hardhat_0.2.0 lava_1.6.10 rlang_1.0.2
[57] pkgconfig_2.0.3 rsample_0.1.1 evaluate_0.15 lattice_0.20-45
[61] recipes_0.2.0 tidyselect_1.1.2 parallelly_1.31.0 magrittr_2.0.3
[65] R6_2.5.1 generics_0.1.2 DBI_1.1.2 pillar_1.7.0
[69] haven_2.4.3 withr_2.5.0 survival_3.2-13 abind_1.4-5
[73] nnet_7.3-17 future.apply_1.8.1 modelr_0.1.8 crayon_1.5.1
[77] car_3.0-12 Quandl_2.11.0 utf8_1.2.2 tzdb_0.3.0
[81] rmarkdown_2.13 grid_4.1.3 readxl_1.4.0 reprex_2.0.1
[85] digest_0.6.29 munsell_0.5.0 quadprog_1.5-8