dirkschumacher / armacmpLinks
π Automatically compile linear algebra R code to C++ with Armadillo
β99Updated 4 years ago
Alternatives and similar repositories for armacmp
Users that are interested in armacmp are comparing it to the libraries listed below
Sorting:
- Code-generate C++ from Rβ64Updated 2 weeks ago
- Rcpp Integration for Numerical Computing Librariesβ56Updated 2 years ago
- [On CRAN] Rcpp integration for the Ensmallen templated C++ mathematical optimization libraryβ32Updated last month
- Experimental and Limited R to C Conversion and Executionβ90Updated 9 months ago
- Inline C, C++ or Fortran functions in Rβ45Updated 10 months ago
- R-friendly threading in C++β60Updated 2 months ago
- Configure R packages for installation with R.β52Updated 4 years ago
- R package to make use of Mathjax in Rd filesβ46Updated 8 months ago
- Fast Pseudo Random Number Generators for Rβ43Updated 4 months ago
- Density, probability, quantile and random number generation functions for the truncated normal distribution.β27Updated 2 years ago
- β69Updated 4 months ago
- Automagically Convert purrr R Calls to Efficient Julia for Loopsβ47Updated 6 years ago
- High Dimensional Numerical and Symbolic Calculus in Rβ48Updated 4 months ago
- Package to link R language to OpenBLAS libraryβ50Updated 4 months ago
- Probability Distributions as S3 Objectsβ106Updated last month
- R for R FAQ 7.31β40Updated 4 years ago
- RcppProgress R package: An interruptible progress bar with OpenMP support for c++ in R packagesβ30Updated last year
- Joint profiling of native and R codeβ54Updated 4 years ago
- Fast Generators and Iterators of Permutations, Combinations and Partitionsβ53Updated last year
- Regression Spline Functions and Classesβ45Updated 8 months ago
- Fast methods for multivariate normal distributionsβ34Updated 2 years ago
- Single precision (float) matrices for R.β46Updated 8 months ago
- Implementation of core data structures for Rβ81Updated 2 years ago
- Latent Variable Models in R https://kkholst.github.io/lava/β33Updated last week
- Translates an R function into a to a C++ function which is callable from within R. The typical use case intended by 'ast2ast' are functioβ¦β35Updated last month
- basic dplyr and tidyr functionality without the tidyverse dependenciesβ81Updated 5 years ago
- High-Level Modeling Functions with 'torch'β73Updated last week
- Deep learning for mlr3β37Updated 3 years ago
- Tools for Developing R Packages Interfacing with Stanβ50Updated last month
- R package reverse dependency checkingβ104Updated last month