#rcpp
These are public posts tagged with #rcpp. You can interact with them if you have an account anywhere in the fediverse.
RcppArmadillo 14.4.2-1 on CRAN: Another Small Upstream Fix
R bindings to powerful and expressive C++ matrix library
https://dirk.eddelbuettel.com/blog/2025/04/26#rcpparmadillo_14.4.2-1
#rcpp #rstats
RQuantLib 0.4.26 on CRAN: Small Updates
Quantitative Finance library bindings for R
https://dirk.eddelbuettel.com/blog/2025/04/24#rquantlib_0.4.26
#rcpp #rstats
qlcal 0.0.15 on CRAN: Calendar Updates
QuantLib Business / Exchange Calendaring for R
https://dirk.eddelbuettel.com/blog/2025/04/23#qlcal-r_0.0.15
#rcpp #rstats
RInside 0.2.19 on CRAN: Mostly Maintenance
The easiest way to embed R in your C++ (and C) applications
https://dirk.eddelbuettel.com/blog/2025/04/22#rinside_0.2.19
#rcpp #rstats
AsioHeaders 1.30.2-1 on CRAN: New Upstream
Cross-platform C++ library for network and low-level I/O
https://dirk.eddelbuettel.com/blog/2025/04/15#asioheaders_1.30.2-1
#rcpp #rstats
AsioHeaders 1.28.2-1 on CRAN: New Upstream
Cross-platform C++ library for network and low-level I/O
https://dirk.eddelbuettel.com/blog/2025/04/08#asioheaders_1.28.2-1
#rstats #rcpp
nanotime 0.3.12 on CRAN: Maintenance
High-resolution nanosecond time functionality for R
https://dirk.eddelbuettel.com/blog/2025/04/02#nanotime_0.3.12
#rcpp #rstats
RProtoBuf 0.4.24 on CRAN: Minor Polish
An R interface to Google Protocol Buffers data serialization
https://dirk.eddelbuettel.com/blog/2025/03/31#rprotobuf_0.4.24
#rstats #rcpp
RcppSpdlog 0.0.21 on CRAN: New Upstream
Modern C++ logging for R extension packages
https://dirk.eddelbuettel.com/blog/2025/03/30#rcppspdlog_0.0.21
#rcpp #rstats
RcppZiggurat 0.1.8 on CRAN: Build Refinements
Faster N(0,1) RNG draws (now also Expontial, Uniform)
https://dirk.eddelbuettel.com/blog/2025/03/30#rcppziggurat_0.1.8
#rstats #rcpp
RcppRedis 0.2.5 on CRAN: Fix Bashism in Configure
Performant R interface to Redis and Valkey
https://dirk.eddelbuettel.com/blog/2025/03/26#rcppredis_0.2.5
#rstats #rcpp
RQuantLib 0.4.25 on CRAN: Fix Bashism in Configure
Quantitative Finance library bindings for R
https://dirk.eddelbuettel.com/blog/2025/03/25#rquantlib_0.4.25
#rstats #rcpp
RcppZiggurat 0.1.7 on CRAN: New Generators, Many Updates
Faster N(0,1) RNG draws (now also Expontial, Uniform)
https://dirk.eddelbuettel.com/blog/2025/03/22#rcppziggurat_0.1.7
#rstats #rcpp
RcppArmadillo 14.4.0-1 on CRAN: New Upstream
R bindings to powerful and expressive C++ matrix library
https://dirk.eddelbuettel.com/blog/2025/03/18#rcpparmadillo_14.4.0-1
#rstats #rcpp
RcppExamples 0.1.10: New factor Example, Other Updates
Examples of using Rcpp to interface R and C++
https://dirk.eddelbuettel.com/blog/2025/03/17#rcppexamples_0.1.10
#rstats #rcpp
RcppTOML 0.2.3 on CRAN: Compiler Nag, Small Updates
Better configuration files for humans and machines
https://dirk.eddelbuettel.com/blog/2025/03/08#rcpptoml_0.2.3
#rcpp #rstats
RcppSimdJson 0.1.13 on CRAN: Compiler Nag, New Upsteam
Highest-performance JSON Parsing via Modern C++ from R
https://dirk.eddelbuettel.com/blog/2025/03/07#rcppsimdjson_0.1.13
#rstats #rcpp
RcppDate 0.0.5: Address Minor Compiler Nag
Powerful date C++ header library for R
https://dirk.eddelbuettel.com/blog/2025/03/06#rcppdate_0.0.5
#rcpp #rstats
Rcpp now used by 3000 CRAN packages!
Seamless R and C++ integration
https://dirk.eddelbuettel.com/blog/2025/02/20#rcpp_3000_packages
#rcpp #rstats
Another milestone -- and another *big big thank you* to the Rcpp Core team, all other contributors, and of course all users!
Don't scold me, I won't use this, I was just testing – I was expecting a crash, but no, it works.
* No, all the threads do not produce the same results, even with a shift: the RNG is not private (this is not like a cluster with parallel !)
* You can see the same number twice in different threads, although not often -- looking at .Random.seed afterwards shows that most of the time, the RNG was updated the same number of times.
* If you set a seed, the result will differs from a call to another, because the threads do not always call the RNG in the same order
![Some code using R::rnorm in a loop with #pragma omp parallel for, which should crash but doesn't.
#include <Rcpp.h>
#include <omp.h>
using namespace Rcpp;
// [[Rcpp::plugins(openmp)]]
// [[Rcpp::plugins(cpp11)]]
// [[Rcpp::export]]
NumericVector test1(int n_simus, int M, int n_threads) {
NumericVector R(n_simus);
double * pR = R.begin();
#pragma omp parallel for num_threads(n_threads)
for(int s = 0; s < n_simus; s++) {
double S = 0;
for(int i = 0; i < M; i++) {
double rn = R::rnorm(0, 1);
#pragma omp critical
std::cout << "Thread " << omp_get_thread_num() << " rn = " << rn << "\n";
S += rn;
}
pR[s] = S;
}
return R;
}](https://media.mathstodon.xyz/media_attachments/files/114/035/971/618/149/045/original/2902608f8d303212.png "Some code using R::rnorm in a loop with #pragma omp parallel for, which should crash but doesn't.
#include <Rcpp.h>
#include <omp.h>
using namespace Rcpp;
// [[Rcpp::plugins(openmp)]]
// [[Rcpp::plugins(cpp11)]]
// [[Rcpp::export]]
NumericVector test1(int n_simus, int M, int n_threads) {
NumericVector R(n_simus);
double * pR = R.begin();
#pragma omp parallel for num_threads(n_threads)
for(int s = 0; s < n_simus; s++) {
double S = 0;
for(int i = 0; i < M; i++) {
double rn = R::rnorm(0, 1);
#pragma omp critical
std::cout << \"Thread \" << omp_get_thread_num() << \" rn = \" << rn << \"\n\";
S += rn;
}
pR[s] = S;
}
return R;
}")