Introduction | Eigen classes | Some simple examples | Least squares solutions | Delayed evaluation | Sparse matrices | Summary

Overview | Armadillo | RcppArmadillo | Kalman Filtering Example | Empirical Speed Comparison | Conclusion

Introduction | Sparse Matrix

Using Attributes | Package Development

Introduction | Extending Rcpp::wrap | Extending Rcpp::as | Summary

Getting started | Compiling and Linking | Examples | Support | Known Issues

Introduction | First Steps with | A first function using | Extending via its API | Extending via the API of | Data Driven Performance Decisions with | Random Numbers within : An Example of Rcpp Sugar | Translating Code from into : Bootstrap Example | Using as an Interface to External Libraries: Exploring Linear Algebra Extensions | in Packages | Conclusion

Introduction | The Rcpp API | R and C++ data interchange | Function calls | Using code `inline' | Using Standard Template Library algorithms | Error handling | Performance comparison | On-going development | Summary

Introduction

Motivation | Rcpp modules | Using modules in other packages | Future extensions | Known shortcomings | Summary

Introduction | Using Rcpp.package.skeleton | Using modules | Further examples | Other compilers | Summary

Important Notes

Motivation | Operators | Functions | Performance | Implementation | Summary