memtoc 0.1.1

CRAN resubmission

• Replaced commented-out help examples with small, executable examples and regenerated the documentation. Logging examples now run in ordinary checks.
• Restored temporary checkpoints so background polling returns its samples; nested monitors use separate files, removed by toc_mem() or mem_clear().
• Include start/end observations in the reported peak when polling is enabled.
• Added regression tests for nested sampling, cleanup, and peak bounds.
• Removed the inaccurate Windows system requirement and clarified sampling and temporary-file recovery limitations.

Pre-CRAN development history

The development labels below predate the initial CRAN submission (0.1.0).

memtoc 0.4.0

Additions

• Added vignette.
• Added NEWS.md changelog.
• Package passes R CMD check with no errors or warnings.

memtoc 0.3.1

Bug Fixes

• Fixed background monitor sample retrieval on Windows. The monitor now saves checkpoints on every sample and reads from the persistence file when the background process is terminated.
• Fixed test script using unexported format_bytes() function.

memtoc 0.3.0

New Features

• Parallel worker monitoring: New workers parameter in tic_mem() allows monitoring memory across parallel workers from the future package ecosystem.

  • workers = "auto": Automatically detect future workers and child processes
  • workers = "none": Only monitor the main R process
  • workers = "children": Monitor main process and all child processes
  • Integer vector: Explicit list of PIDs to monitor

• Per-worker statistics: Results now include worker_stats data frame with peak memory usage for each monitored process.

• New function mem_parallel_info(): Diagnostic function to check parallel backend status and detected workers before running a job.

• Results now include n_workers field showing number of worker processes monitored.

memtoc 0.2.0

New Features

• Background polling: New interval parameter in tic_mem() enables continuous memory sampling via a background R process. This captures true peak memory even for short-lived allocations.

• Memory trajectory: Results now include a trajectory data frame with timestamped memory samples when background polling is enabled.

• System memory context: Trajectory includes system-wide RAM usage (sys_total, sys_avail, sys_percent). Warnings are displayed when system RAM exceeds 80% or 95%.

• CPU time tracking: Results include cpu_user and cpu_system fields showing CPU time consumed during the tracked interval.

• Crash recovery: New mem_recover() function retrieves memory samples from a crashed R session using persisted checkpoint files.

• Capability detection: New mem_capabilities() function checks which features are available on the current system.

• Diagnostics: New mem_diagnose() function provides detailed troubleshooting when background polling is unavailable.

memtoc 0.1.0

Initial Release

• Core tic_mem() / toc_mem() functions for start/stop memory tracking.
• Nested tracking support with proper stack management.
• Logging with mem_log(), mem_clearlog(), and mem_print_log().
• Human-readable output with peak memory, current memory, and elapsed time.
• Print method for result objects showing detailed breakdown.

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