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Installation from source requires 'libnng' >= v1.5.0 and 'libmbedtls' >= 2.5.0 (suitable installations are automatically detected), or else 'cmake' to compile 'libnng' v1.7.3 and 'libmbedtls' v3.6.0 included within the package sources.
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Installation from source requires 'libnng' >= v1.5.0 and 'libmbedtls' >= 2.5.0 (suitable installations are automatically detected), or else 'cmake' to compile 'libnng' v1.7.3 and 'libmbedtls' v3.6.0 LTS included within the package sources.
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**It is recommended for optimal performance and stability to let the package automatically compile bundled versions of 'libmbedtls' and 'libnng' during installation.** To ensure the libraries are compiled from source even if system installations are present, set the `NANONEXT_LIBS` environment variable prior to installation e.g. by `Sys.setenv(NANONEXT_LIBS = 1)`.
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@@ -162,15 +162,15 @@ As system libraries, 'libnng' is available as libnng-dev (deb) or nng-devel (rpm
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#### Windows
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For R >= 4.2 using the 'Rtools42' or 'Rtools43' toolchains, 'libnng' v1.7.3 and 'libmbedtls' v3.6.0 will be automatically compiled from the package sources during installation.
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For R >= 4.2 using the 'Rtools42' or 'Rtools43' toolchains, 'libnng' v1.7.3 and 'libmbedtls' v3.6.0 LTS will be automatically compiled from the package sources during installation.
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For previous R versions, pre-compiled 'libnng' v1.7.3 and 'libmbedtls' v3.6.0 libraries are downloaded and used for installation instead.
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For previous R versions, pre-compiled 'libnng' v1.7.3 and 'libmbedtls' v3.6.0 LTS libraries are downloaded and used for installation instead.
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### Acknowledgements and Links
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We would like to acknowledge in particular:
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-[Garrett D'Amore](https://github.com/gdamore), author of the NNG library, for being generous with advice and implementing a feature request specifically for a more efficient 'aio' implementation in {nanonext}.
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-[Garrett D'Amore](https://github.com/gdamore), author of the NNG library, for generous advice and for implementing a feature request specifically for a more efficient 'aio' implementation in `nanonext`.
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- The [R Consortium](https://www.r-consortium.org/) for funding the development of the secure TLS capabilities in the package, and [Henrik Bengtsson](https://github.com/HenrikBengtsson) and [Will Landau](https://github.com/wlandau/)'s roles in making this possible.
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-[R Core](https://www.r-project.org/contributors.html) for various auxiliary functions for serialisation and raw / character conversion, which have been adopted by the package.
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-[Luke Tierney](https://github.com/ltierney/) and [Mike Cheng](https://github.com/coolbutuseless) for meticulous documentation of the R serialization mechanism, which led to the package's own implementation of a low-level interface to R serialization.
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