CRAN errors reproduced in sf/sp/rgdal/raster revdeps

[rsbivand]

Please try to replicate the errors with PROJ >= 6, GDAL >= 3, and CRAN sf:

* checking examples ... ERROR
Running examples in ‘brazilmaps-Ex.R’ failed
The error most likely occurred in:

> ### Name: get_brmap
> ### Title: Get Brazilian maps from different geographic levels
> ### Aliases: get_brmap
> ### Keywords: IBGE geographic levels shapefile spatial
> 
> ### ** Examples
> 
> ## Retrieving the map from the State of Rio de Janeiro
> rio_map <- get_brmap(geo = "State",
+                      geo.filter = list(State = 33),
+                      class = "sf")
Error: All columns in a tibble must be vectors.
✖ Column `geometry` is a `sfc_MULTIPOLYGON/sfc` object.
Backtrace:
     █
  1. └─brazilmaps::get_brmap(...)
  2.   └─`%>%`(...)
  3.     ├─base::withVisible(eval(quote(`_fseq`(`_lhs`)), env, env))
  4.     └─base::eval(quote(`_fseq`(`_lhs`)), env, env)
  5.       └─base::eval(quote(`_fseq`(`_lhs`)), env, env)
  6.         └─brazilmaps:::`_fseq`(`_lhs`)
  7.           └─magrittr::freduce(value, `_function_list`)
  8.             └─function_list[[i]](value)
  9.               ├─dplyr::filter(., brmap[[(names(geo.filter)[i])]] %in% geo.filter[[i]])
 10.               └─dplyr:::filter.data.frame(...)
 11.                 ├─base::as.data.frame(filter(tbl_df(.data), ..., .preserve = .preserve))
 12.                 ├─dplyr::filter(tbl_df(.data), ..., .preserve = .preserve)
 13.                 └─dplyr::tbl_df(.data)
 14.                   ├─tibble::as_tibble(data, .name_repair = "chec
Execution halted

Please refer to sf PROJ issues for links to containers, or install PROJ/GDAL yourself to check.

Probably a dplyr/tidyverse non-backwards-compatible problem, mute example if easier.