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