Running examples in ‘tidyfit-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: .fit.quantile
> ### Title: Quantile regression for 'tidyfit'
> ### Aliases: .fit.quantile
> 
> ### ** Examples
> 
> # Load data
> data <- tidyfit::Factor_Industry_Returns
> 
> # Stand-alone function
> fit <- m("quantile", Return ~ ., data, tau = 0.5)

 *** caught segfault ***
address 0x557a00000004, cause 'memory not mapped'

Traceback:
 1: structure(.Call(C_objectSize, x), class = "object_size")
 2: utils::object.size(mod$object)
 3: .f(.x[[i]], ...)
 4: .Primitive(".Call")(list(name = "map_impl", address = <pointer: 0x557a70687d20>,     dll = list(name = "purrr", path = "/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/purrr/libs/purrr.so",         dynamicLookup = FALSE, handle = <pointer: 0x557a7239afa0>,         info = <pointer: 0x557a6f8d4900>, forceSymbols = FALSE),     numParameters = 6L), <environment>, "list", FALSE, 1L, NULL,     1L)
 5: call_with_cleanup(map_impl, environment(), .type, .progress,     n, names, i)
 6: withCallingHandlers(expr, error = function(cnd) {    if (i == 0L) {    }    else {        message <- c(i = "In index: {i}.")        if (!is.null(names) && !is.na(names[[i]]) && names[[i]] !=             "") {            name <- names[[i]]            message <- c(message, i = "With name: {name}.")        }        else {            name <- NULL        }        cli::cli_abort(message, location = i, name = name, parent = cnd,             call = error_call, class = "purrr_error_indexed")    }})
 7: with_indexed_errors(i = i, names = names, error_call = .purrr_error_call,     call_with_cleanup(map_impl, environment(), .type, .progress,         n, names, i))
 8: map_("list", .x, .f, ..., .progress = .progress)
 9: purrr::map(.data$model_object, function(mod) utils::object.size(mod$object))
10: make_vector(purrr::map(.data$model_object, function(mod) utils::object.size(mod$object)))
11: .Call(dplyr_mask_eval_all_mutate, quo, private)
12: eval()
13: mask$eval_all_mutate(quo)
14: mutate_col(dots[[i]], data, mask, new_columns)
15: withCallingHandlers(for (i in seq_along(dots)) {    poke_error_context(dots, i, mask = mask)    context_poke("column", old_current_column)    new_columns <- mutate_col(dots[[i]], data, mask, new_columns)}, error = dplyr_error_handler(dots = dots, mask = mask, bullets = mutate_bullets,     error_call = error_call, error_class = "dplyr:::mutate_error"),     warning = dplyr_warning_handler(state = warnings_state, mask = mask,         error_call = error_call))
16: mutate_cols(.data, dplyr_quosures(...), by)
17: mutate.data.frame(., `size (MB)` = make_vector(purrr::map(.data$model_object,     function(mod) utils::object.size(mod$object)))/1e+06)
18: dplyr::mutate(., `size (MB)` = make_vector(purrr::map(.data$model_object,     function(mod) utils::object.size(mod$object)))/1e+06)
19: dplyr::mutate(., errors = make_vector(purrr::map(.data$model_object,     function(mod) mod$error)))
20: dplyr::mutate(., warnings = make_vector(purrr::map(.data$model_object,     function(mod) mod$warnings)))
21: dplyr::mutate(., messages = make_vector(purrr::map(.data$model_object,     function(mod) mod$messages)))
22: df %>% dplyr::mutate(estimator_fct = make_vector(purrr::map(.data$model_object,     function(mod) mod$estimator))) %>% dplyr::mutate(`size (MB)` = make_vector(purrr::map(.data$model_object,     function(mod) utils::object.size(mod$object)))/1e+06) %>%     dplyr::mutate(errors = make_vector(purrr::map(.data$model_object,         function(mod) mod$error))) %>% dplyr::mutate(warnings = make_vector(purrr::map(.data$model_object,     function(mod) mod$warnings))) %>% dplyr::mutate(messages = make_vector(purrr::map(.data$model_object,     function(mod) mod$messages)))
23: .make_model_cols(mods)
24: m("quantile", Return ~ ., data, tau = 0.5)
An irrecoverable exception occurred. R is aborting now ...
Segmentation fault