Package: bidser 0.4.0

Building a test dataset | Confound sets: predefined recipes | Reading confounds | Selecting variables by name or wildcard | Flat output for quick modeling | Confound strategies: PCA reduction | Custom strategies | Reading event files | The variables table: one tibble per run | Dataset QA with bids_report() | Putting it together

Introduction to bidser | What is BIDS? | What does bidser do? | Loading a BIDS Dataset | Basic Dataset Queries | Dataset Structure | Finding Files by Type | Filtering by Subject and Task | Working with Multiple Subjects | Working with Event Files | Analyzing Event Data | Working with Metadata Sidecars | Working with Individual Subjects | Advanced Querying with query_files() | Match Modes | Entity Presence, Extension, and Datatype Filters | Tibble Output with Parsed Entities | Scoped Queries and Derivatives | Permissive Loading | Run-Level Variables and Report Data | Full File Paths | Working with fMRIPrep Derivatives

What does a small mock project look like? | How do you query raw and derivative files? | How do you inspect injected events and confounds? | How do you pack the project for sharing? | Next Steps

Where are the derivatives? | How do you pull one derivative run? | How do you read and check confounds? | How do you verify run-level coverage? | How do you turn that into a report? | Next Steps