The API reference provides comprehensive documentation for every function, class, and method in BigDataStatMeth. This documentation is auto-generated from source code to ensure accuracy.
Two Interfaces, Same Power
BigDataStatMeth provides the same statistical capabilities through two interfaces, each optimized for its audience. Choose the one that fits your workflow.
Choose Your Interface
High-level statistical computing
R functions that follow familiar conventions. Automatic error checking and memory management let you focus on statistical methodology.
Function categories:
- Linear Algebra
- HDF5 Algebra
- Block-wise Operations
- HDF5 Statistics
- HDF5 I/O & Management
- Other Functions
Best for: Data analysis, rapid prototyping, R workflows
Browse R functions →
Direct access to implementations
Header-only library with explicit control over memory and resources. Same capabilities as R with low-level access.
API categories:
Best for: Performance-critical code, system integration, maximum control
Browse C++ API →
Using This Reference
This reference is designed for targeted searches, not sequential reading. When you need a specific operation, find the relevant function or class, understand its interface, and apply it.
For R users: Browse by category, study examples, adapt code to your needs.
For C++ users: Navigate to specific classes or functions. Pay attention to memory management requirements.
Beyond the Reference
Fundamentals
Understand HDF5 storage, block-wise computing, and linear algebra foundations.
Tutorials
Progressive examples from basics to advanced topics.
Workflows
Complete analyses solving real research problems.
The API reference is the technical specification. Other sections provide the context you need to apply these functions effectively.