memtoc: 'Tictoc'-Style Memory Usage Tracking

Provides simple start/stop memory tracking functions tic_mem() and toc_mem() that can be nested, inspired by the 'tictoc' package. Track RAM usage during code execution with support for logging, custom messages, nested tracking blocks, and parallel worker monitoring. Features continuous background polling to estimate peak memory usage across main process and workers. Integrates with the 'future' package ecosystem for automatic worker detection. Designed for monitoring memory consumption in parallel workflows.

Version:	0.1.1
Depends:	R (≥ 4.1.0)
Imports:	ps (≥ 1.7.0), cli (≥ 3.0.0), callr (≥ 3.7.0)
Suggests:	testthat (≥ 3.2.0), withr, future, parallelly, knitr, rmarkdown
Published:	2026-09-26
DOI:	10.32614/CRAN.package.memtoc
Author:	Juan Ocampo [aut, cre]
Maintainer:	Juan Ocampo <jocampo1997 at hotmail.com>
BugReports:	https://github.com/jcoa05/memtoc/issues
License:	MIT + file LICENSE
URL:	https://github.com/jcoa05/memtoc
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	memtoc results

Documentation:

Reference manual:	memtoc.html , memtoc.pdf
Vignettes:	Getting Started with memtoc (source, R code)

Downloads:

Package source:	memtoc_0.1.1.tar.gz
Windows binaries:	r-devel: memtoc_0.1.1.zip, r-release: memtoc_0.1.1.zip, r-oldrel: memtoc_0.1.1.zip
macOS binaries:	r-release (arm64): memtoc_0.1.1.tgz, r-oldrel (arm64): memtoc_0.1.1.tgz, r-release (x86_64): memtoc_0.1.1.tgz, r-oldrel (x86_64): memtoc_0.1.1.tgz

Linking:

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