Error(s) in re-building vignettes:
--- re-building ‘getting-started.Rmd’ using rmarkdown
Warning in engine$weave(file, quiet = quiet, encoding = enc) :
  Pandoc (>= 1.12.3) not available. Falling back to R Markdown v1.
── Attaching packages ────────────────────────────────────── tidymodels 0.1.3 ──
✔ broom        0.7.6      ✔ recipes      0.1.16
✔ dials        0.0.9      ✔ rsample      0.1.0 
✔ dplyr        1.0.6      ✔ tibble       3.1.2 
✔ ggplot2      3.3.3      ✔ tidyr        1.1.3 
✔ infer        0.5.4      ✔ tune         0.1.5 
✔ modeldata    0.1.0      ✔ workflows    0.2.2 
✔ parsnip      0.1.5      ✔ workflowsets 0.0.2 
✔ purrr        0.3.4      ✔ yardstick    0.0.8 
── Conflicts ───────────────────────────────────────── tidymodels_conflicts() ──
✖ purrr::discard() masks scales::discard()
✖ dplyr::filter()  masks stats::filter()
✖ dplyr::lag()     masks stats::lag()
✖ recipes::step()  masks stats::step()
• Use tidymodels_prefer() to resolve common conflicts.
── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──
✔ readr   1.4.0     ✔ forcats 0.5.1
✔ stringr 1.4.0     
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ readr::col_factor() masks scales::col_factor()
✖ purrr::discard()    masks scales::discard()
✖ dplyr::filter()     masks stats::filter()
✖ stringr::fixed()    masks recipes::fixed()
✖ dplyr::lag()        masks stats::lag()
✖ readr::spec()       masks yardstick::spec()
Using date_var: date
--- finished re-building ‘getting-started.Rmd’

sh: line 1: 65108 Segmentation fault: 11  '/Library/Frameworks/R.framework/Resources/bin/R' --vanilla --no-echo > '/Volumes/Temp/tmp/RtmpOy3VSC/filef7426fe3b9b3' 2>&1 < '/Volumes/Temp/tmp/RtmpOy3VSC/filef7424fb4d028'
--- re-building ‘panel-data.Rmd’ using rmarkdown
Warning in engine$weave(file, quiet = quiet, encoding = enc) :
  Pandoc (>= 1.12.3) not available. Falling back to R Markdown v1.
── Attaching packages ────────────────────────────────────── tidymodels 0.1.3 ──
✔ broom        0.7.6      ✔ recipes      0.1.16
✔ dials        0.0.9      ✔ rsample      0.1.0 
✔ dplyr        1.0.6      ✔ tibble       3.1.2 
✔ ggplot2      3.3.3      ✔ tidyr        1.1.3 
✔ infer        0.5.4      ✔ tune         0.1.5 
✔ modeldata    0.1.0      ✔ workflows    0.2.2 
✔ parsnip      0.1.5      ✔ workflowsets 0.0.2 
✔ purrr        0.3.4      ✔ yardstick    0.0.8 
── Conflicts ───────────────────────────────────────── tidymodels_conflicts() ──
✖ purrr::discard() masks scales::discard()
✖ dplyr::filter()  masks stats::filter()
✖ dplyr::lag()     masks stats::lag()
✖ recipes::step()  masks stats::step()
• Use tidymodels_prefer() to resolve common conflicts.
── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──
✔ readr   1.4.0     ✔ forcats 0.5.1
✔ stringr 1.4.0     
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ readr::col_factor() masks scales::col_factor()
✖ purrr::discard()    masks scales::discard()
✖ dplyr::filter()     masks stats::filter()
✖ stringr::fixed()    masks recipes::fixed()
✖ dplyr::lag()        masks stats::lag()
✖ readr::spec()       masks yardstick::spec()
Loading required package: lubridate

Attaching package: 'lubridate'

The following objects are masked from 'package:base':

    date, intersect, setdiff, union

Loading required package: PerformanceAnalytics
Loading required package: xts
Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

    as.Date, as.Date.numeric


Attaching package: 'xts'

The following objects are masked from 'package:dplyr':

    first, last


Attaching package: 'PerformanceAnalytics'

The following object is masked from 'package:graphics':

    legend

Loading required package: quantmod
Loading required package: TTR

Attaching package: 'TTR'

The following object is masked from 'package:modeltime':

    growth

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Business Science offers a 1-hour course - Learning Lab #9: Performance Analysis & Portfolio Optimization with tidyquant!
</> Learn more at: https://university.business-science.io/p/learning-labs-pro </>
Data is not ordered by the 'date_var'. Resamples will be arranged by `Date`.
Overlapping Timestamps Detected. Processing overlapping time series together using sliding windows.
Disabling weekly seasonality. Run prophet with weekly.seasonality=TRUE to override this.
Disabling daily seasonality. Run prophet with daily.seasonality=TRUE to override this.

 *** caught segfault ***
address 0x10f56affc, cause 'memory not mapped'

Traceback:
 1: gc(FALSE)
 2: system.time(res$fit <- eval_mod(fit_call, capture = control$verbosity ==     0, catch = control$catch, env = env, ...))
 3: xy_xy(object = object, env = eval_env, control = control, target = "matrix",     ...)
 4: fit_xy.model_spec(spec, x = mold$predictors, y = mold$outcomes,     control = control_parsnip)
 5: fit_xy(spec, x = mold$predictors, y = mold$outcomes, control = control_parsnip)
 6: fit_from_xy(spec, mold, control_parsnip)
 7: fit.action_model(action_model, workflow = workflow, control = control)
 8: fit(action_model, workflow = workflow, control = control)
 9: .fit_model(workflow, control)
10: fit.workflow(., training(walmart_tscv$splits[[1]]))
11: fit(., training(walmart_tscv$splits[[1]]))
12: workflow() %>% add_model(boost_tree() %>% set_engine("xgboost")) %>%     add_recipe(recipe_spec %>% step_rm(Date)) %>% fit(training(walmart_tscv$splits[[1]]))
13: eval(expr, envir, enclos)
14: eval(expr, envir, enclos)
15: withVisible(eval(expr, envir, enclos))
16: withCallingHandlers(withVisible(eval(expr, envir, enclos)), warning = wHandler,     error = eHandler, message = mHandler)
17: handle(ev <- withCallingHandlers(withVisible(eval(expr, envir,     enclos)), warning = wHandler, error = eHandler, message = mHandler))
18: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval(expr,     envir, enclos)), warning = wHandler, error = eHandler, message = mHandler)))
19: evaluate_call(expr, parsed$src[[i]], envir = envir, enclos = enclos,     debug = debug, last = i == length(out), use_try = stop_on_error !=         2L, keep_warning = keep_warning, keep_message = keep_message,     output_handler = output_handler, include_timing = include_timing)
20: evaluate::evaluate(...)
21: evaluate(code, envir = env, new_device = FALSE, keep_warning = !isFALSE(options$warning),     keep_message = !isFALSE(options$message), stop_on_error = if (is.numeric(options$error)) options$error else {        if (options$error && options$include)             0L        else 2L    }, output_handler = knit_handlers(options$render, options))
22: in_dir(input_dir(), evaluate(code, envir = env, new_device = FALSE,     keep_warning = !isFALSE(options$warning), keep_message = !isFALSE(options$message),     stop_on_error = if (is.numeric(options$error)) options$error else {        if (options$error && options$include)             0L        else 2L    }, output_handler = knit_handlers(options$render, options)))
23: eng_r(options)
24: block_exec(params)
25: call_block(x)
26: process_group.block(group)
27: process_group(group)
28: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group),     error = function(e) {        setwd(wd)        cat(res, sep = "\n", file = output %n% "")        message("Quitting from lines ", paste(current_lines(i),             collapse = "-"), " (", knit_concord$get("infile"),             ") ")    })
29: process_file(text, output)
30: knit(input, text = text, envir = envir, quiet = quiet)
31: (if (grepl("\\.[Rr]md$", file)) knit2html else if (grepl("\\.[Rr]rst$",     file)) knit2pandoc else knit)(file, encoding = encoding,     quiet = quiet, envir = globalenv(), ...)
32: vweave(...)
33: engine$weave(file, quiet = quiet, encoding = enc)
34: doTryCatch(return(expr), name, parentenv, handler)
35: tryCatchOne(expr, names, parentenv, handlers[[1L]])
36: tryCatchList(expr, classes, parentenv, handlers)
37: tryCatch({    engine$weave(file, quiet = quiet, encoding = enc)    setwd(startdir)    output <- find_vignette_product(name, by = "weave", engine = engine)    if (!have.makefile && vignette_is_tex(output)) {        texi2pdf(file = output, clean = FALSE, quiet = quiet)        output <- find_vignette_product(name, by = "texi2pdf",             engine = engine)    }}, error = function(e) {    OK <<- FALSE    message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s",         file, conditionMessage(e)))})
38: tools:::.buildOneVignette("panel-data.Rmd", "/Volumes/Builds/packages/high-sierra-x86_64/results/4.1/modeltime.resample.Rcheck/vign_test/modeltime.resample",     TRUE, FALSE, "panel-data", "UTF-8", "/Volumes/Temp/tmp/RtmpOy3VSC/filef742439aeba1.rds")
An irrecoverable exception occurred. R is aborting now ...
SUMMARY: processing the following file failed:
  ‘panel-data.Rmd’

Error: Vignette re-building failed.
Execution halted