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cpp4r 0.6.0

• register() now captures the C++ namespace of decorated functions and emits fully-qualified declarations and calls, so functions defined inside a namespace { ... } block (or written as ns::fun) can be registered without further setup.
• Removed the run-time dependency on the decor, tibble, and vctrs packages; the small subset of helpers that register() relies on is now bundled internally and uses base data.frame.
• Adds fast paths that provide slight speed improvements (e.g., avoiding branching)
• Follows, to the best possible extent, the R’s C API description from https://github.com/hadley/r-internals.
• Slightly expanded cpp4r::function.
• Fixed two empty tests.

cpp4r 0.5.1

• Luke Tierney pointed out a similar change as in v0.5.0 to add to function.hpp.

cpp4r 0.5.0

• Avoids non-API methods when handling data frames (thanks to Luke Tierney for reporting this)

cpp4r 0.4.0

• Clearer documentation about the C++ workflow (i.e., how to use anticonf to specify a C++ standard)
• Allows for default values like my_fun(int x = 100) to call my_fun() with the same result as my_fun(100L) from R

cpp4r 0.3.1

• Added support for implicit conversions for R lists

cpp4r 0.3.0

• This is the first release on CRAN
• Added as_logicals() and as_strings() in the same style of as_doubles() and as_integers()
• Improved memory management for r_vector iterators
• Slightly faster than cpp11
• vendor() and unvendor() use path = NULL as default to adhere to CRAN policies.

cpp4r 0.2.0

• Reduced dependencies on R side
• The vignettes are rendered only for the package site to keep the CRAN build minimal

cpp4r 0.1.0

• Initial release

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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