Changes in version 0.4.0                        

Additions

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

                        Changes in version 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.

                        Changes in version 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.

                        Changes in version 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.

                        Changes in version 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.