How does R handle memory management internally?

R uses garbage collection with copy-on-modify semantics and reference counting optimizations in modern versions.

R’s memory model is built on the notion of environments and lazy copying. When objects are modified, R often performs copy-on-write unless no other references exist. Garbage collection runs periodically to reclaim unused memory. Large datasets can cause fragmentation and overhead if not managed carefully.