"Error: pandoc document conversion failed with error 1" when knitting R Markdown

I am troubleshooting a less-experienced R user's issue. She is attempting to knit a report that I created. The error started after her laptop was re-imaged, and R/RStudio had to be re-installed. Previously she could knit the report, and I can still knit the file without an error. The error occurs when it tries to create the file-- it's not an issue with the code. The normal procedure for knitting is to run a .R script, with rmarkdown::render() knitting the html and then writing it out to a different location with a different name. If she manually knits the .Rmd she still gets the error but the .html file with the same name as the .Rmd gets created.

rmarkdown::render("CODE\\SPEECHMINER_MAINTENANCE.RMD", output_format = "html_document", output_dir = "OUTPUT", output_file = paste0("SPEECHMINER_MAINTENANCE_REPORT_", format(Sys.Date(), "%Y-%m-%d"), ".html") ) 

Below is her session info. As I said earlier, everything is up-to-date because they had to do a fresh install. Her RStudio is 1.2.x, I can get that if necessary.

sessionInfo() R version 3.6.1 (2019-07-05) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 10 x64 (build 17134) Matrix products: default locale: [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252 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] rmarkdown_1.16 loaded via a namespace (and not attached): [1] compiler_3.6.1 htmltools_0.4.0 tools_3.6.1 Rcpp_1.0.2 knitr_1.25 xfun_0.10 digest_0.6.21 rlang_0.4.0 evaluate_0.14 

From what I've read online the typical advise is to update everything. In this case the update precipitated the problem. My system is not as updated. I'm on R 3.4.4, RStudio 1.1.x, knitr 1.22 and rmarkdown 1.12. I don't know much about how pandoc works and I'm thinking that must be the issue-- I'm sure that many folks are able to do this process successfully with the updated versions of R/RStudio/the packages.