NEWS

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fmridataset 0.9.0

New features

• Added dummy_mode parameter to fmri_dataset() and nifti_backend() (#3)
  • Allows creation of datasets with non-existent file paths for testing
  • Returns placeholder data (zeros) and standard dimensions
  • Useful for testing dependent packages without requiring actual data files
  • Enable with dummy_mode = TRUE in fmri_dataset() constructor
• Replaced the DelayedArray dependency with the lightweight delarr lazy matrix adapter
  • fmri_series() and study helpers now return delarr objects by default
  • Added as_delarr() generics for all storage backends and study adapters
  • Retained optional as_delayed_array() paths for explicit DelayedMatrix output

fmridataset 0.8.9

Critical fixes

• Added bounded memory cache to prevent unbounded memory growth (#1)

  • Memoization now uses cachem with configurable size limit (default 512MB)
  • Added fmri_clear_cache() function to manually clear cache
  • Cache size configurable via options(fmridataset.cache_max_mb = 1024)

• Added memory warnings and mitigation for study_backend (#2)

  • Warning when operations will load >1GB into memory
  • Automatic chunking for operations that would load >2GB
  • Recommends using data_chunks() for large datasets

fmridataset 0.1.0

New features

• Added comprehensive CI/CD pipeline with GitHub Actions
• Added test coverage reporting with codecov
• Added code style checking and automatic formatting
• Added issue and PR templates for better project management
• Implemented as_tibble.fmri_study_dataset with metadata optimization
• Added integration and performance tests for fmri_study_dataset workflow

Bug fixes

• Fixed chunking edge case when nchunks > number of voxels
• Updated deprecated with_mock() calls to with_mocked_bindings()
• Fixed dimensional consistency issues in storage backends
• Resolved all test failures from package refactoring

Documentation

• Added comprehensive README with badges and examples
• Improved package architecture documentation
• Added codecov configuration for coverage reporting
• New vignette "From Single-Subject to Study-Level Analysis" with performance guidelines and architectural diagram

Internal changes

• Refactored monolithic codebase into modular architecture
• Improved test organization and coverage
• Enhanced error handling and validation
• Modernized CI/CD workflows and tooling